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Joel Taylor

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With a keen interest in computer technology, Joel Taylor uses his Bachelor's Degree in English, Media, and Writing, as well as his years of experience researching, writing, and editing for B2B brands to help developers craft compelling content designed to help companies and individuals leverage tools to improve their code and cloud security by integrating it throughout the software development lifecycle.

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The Top 5 Free Vulnerability Scanners of 2025

Free vulnerability scanners are a great way to begin scanning your cloud applications and infrastructure for security issues, and proactively resolving vulnerabilities before attackers can find them. These tools can be implemented at every stage of the SDLC, from code planning to production, depending on your preferences and objectives. As a domain, vulnerability scanners cover use cases such as code scanning, dependency reviews, and secret detection. They can analyze code statically in repos or dynamically in runtime. Let's dive into the factors to consider when choosing a vulnerability scanner, before reviewing our top five suggestions. How to choose a vulnerability scanner When securing your SDLC, choosing a vulnerability scanner will be among your first steps. At its core, vulnerability scanners aim to ensure that applications and cloud infrastructure are built, maintained, and updated in a manner that shields them from malicious attacks and security breaches. That said, there are some specific factors to consider when narrowing your decision. What phase of the tech stack are you looking to secure? Generally speaking, those looking to surface vulnerabilities in the code they write should look at SAST, secrets detection, and DAST tools. Use SCA and SBOM tools to ensure you're using secure open source components. Consider container scanning tools if you're looking to scan Dockerfiles, container registries, or containers in runtime. And finally, evaluate IaC scanning tools and CSPM tools to surface cloud security misconfigurations.Where do you want to integrate vulnerability scanning? Many security and engineering teams are looking to shift security left in the SDLC. Consider SAST, secrets detection, and SCA tools to find vulnerabilities early. You can also shift left your cloud security scanning with IaC security. CSPM and DAST can only be integrated later on in the SDLC.What is your tolerance for false positives? Generally speaking, tools that analyze code statically will have a higher false positive rate, because they don't understand the runtime context to determine whether a real vulnerability exists in production. Vulnerability scanners that scan the runtime environment tend to have a lower false positive rate.Do you have any compliance requirements? Many security compliance requirements will include application security and cloud infrastructure security practices. Use the vulnerability scanner overviews below to map toolsets to these compliance requirements. Deep Dive Into the Top 5 Free Vulnerability Scanners Since we're reviewing free vulnerability scanners, let's review the top open source application and security tools out there to proactively identify and remediation vulnerabilities. Leveraging Jit for Application and Cloud Security Free vulnerability scanners are a great way to get started with SDLC security. However, using multiple scanners can be difficult to integrate maintain, and require developers to context switch when analyzing vulnerabilities. If you're looking for a simpler solution that developers can easily adopt, consider Jit's Open ASPM Platform, which empowers developers to integrate security seamlessly into every stage of the development process with a unique developer UX that is easy to adopt. Jit offers a complete suite of tools specifically tailored to enhance application and cloud security throughout the Software Development Lifecycle. It covers SAST, SCA, secrets detection, IaC scanning, CSPM, DAST, and CI/CD security, which can be rolled out across repos in minutes.

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Cost-Effective Ways for Startups to Improve Application and Cloud Security

Today's broad spectrum of security threats necessitates a variety of specialized tools to address different types of vulnerabilities in applications and cloud infrastructure. These security solutions often come with high costs, posing a significant burden for startups operating on limited budgets. The expense of acquiring and maintaining a full suite of security tools can be daunting, leaving startups vulnerable if they cannot afford the necessary protection. For startups, prioritizing security investments is crucial to covering the most critical areas with minimal expenditure. While it might seem challenging, affordable and effective security tools do exist that can provide robust protection without the hefty price tags of enterprise solutions. One such example is Jit’s Minimal Viable Security (MVS) plan, designed to offer essential security controls at a fraction of the cost, enabling startups to implement strong security measures from the outset. Now that the basics are out of the way, let's focus on showcasing free and easy-to-use tools that startups can integrate into their workflows. » Learn more about minimum viable security In this article, we'll cover some additional cost effective options for application and cloud security tooling, so startups can stay secure without breaking the bank. 1. Scan Custom Code for Vulnerabilities With Semgrep » Learn how to set up Semgrep rules for optimized scanning Integrating Semgrep Into the SDLC Integrating Semgrep into the software development lifecycle (SDLC) is straightforward, particularly within CI/CD pipelines for automated scanning. To set up Semgrep, follow these steps: Install Semgrep: Use the command line to install Semgrep with a simple command: pip install semgrepUse pre-configured rulesets: Start by using pre-configured rulesets available from the Semgrep registry, which cover common vulnerabilities and security issues. Customize rules as needed: Customize or create new rules to address specific security concerns unique to your codebase. Automate in CI/CD pipelines: Integrate Semgrep into your CI/CD pipelines by adding a Semgrep scan step to your build process. This ensures that code is automatically scanned for vulnerabilities each time it is pushed or merged. See details below. Example Configuration for GitLab CI/CD To integrate Semgrep into your CI/CD pipeline, you can add a job that runs Semgrep as part of your build process. Below is an example configuration for integrating Semgrep into a GitLab CI/CD pipeline: Install Semgrep:Add a `before_script` section in your `.gitlab-ci.yml` file to install Semgrep. Configure the .gitlab-ci.yml file: Add a job for running Semgrep during the CI/CD pipeline. Example .gitlab-ci.yml: stages: - build - test before_script: # Install dependencies - apt-get update - apt-get install -y python3 python3-pip # Install Semgrep - pip3 install semgrep build: stage: build script: - echo "Building the project..." scan: stage: test script: # Run Semgrep scan - semgrep --config "p/ci" . artifacts: paths: - semgrep-report.txt » See our list of our favorite SAST tools This configuration does the following: Defines two stages: build and test Installs Semgrep and its dependencies Placeholder job for your build process Runs Semgrep to scan the codebase for vulnerabilities using a pre-configured ruleset (p/ci) and saves the report as an artifact 2. Scan Open Source Code Vulnerabilities With OSV Scanner » Here are some other open-source application security tools Integrating OSV Scanner into the SDLC Integrating OSV Scanner into the software development lifecycle is straightforward and can significantly enhance the security of your open-source components. Follow these steps to set up OSV Scanner: Install OSV Scanner: You can use Windows Scoop, Homebrew, or other package manager tools to install OSV Scanner, depending on your operating system and programming language. For brew users, simply use the following command: brew install osv-scanner Automate scans in CI/CD pipelines: Add OSV Scanner to your CI/CD pipelines to automatically scan dependencies during the build process. To add OSV Scanner to your CI/CD pipelines, configure your CI/CD tool to run OSV Scanner during the build process. For GitHub Actions, create a `.github/workflows/osv-scanner.yml` file with steps to set up the Go environment, install the OSV Scanner, and run it on the repository. For GitLab CI/CD, create a `.gitlab-ci.yml` file with a similar setup using the Go image. Both configurations ensure that OSV Scanner scans dependencies during the build process, detecting vulnerabilities before deployment. Regular monitoring: Schedule regular scans of your open-source dependencies to stay updated with the latest vulnerabilities and apply patches as needed. » Compare OSV Scanner to npm-audit Example Configuration for GitLab CI/CD You can integrate OSV Scanner into your GitLab CI/CD pipeline by following these steps: Install OSV Scanner: Use a `before_script` section in your `.gitlab-ci.yml` file to install OSV Scanner. Configure the .gitlab-ci.yml file: Add a job for running OSV Scanner during the CI/CD pipeline. Example .gitlab-ci.yml:stages: - build - test before_script: - apt-get update - apt-get install -y curl - curl -sSfL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh | bash - echo 'eval "$(/home/linuxbrew/.linuxbrew/bin/brew shellenv)"' >>~/.profile - eval "$(/home/linuxbrew/.linuxbrew/bin/brew shellenv)" - brew install osv-scanner build: stage: build script: - echo "Building the project..." scan: stage: test script: - osv-scanner --recursive . artifacts: paths: - osv-scanner-report.json 3. Scan Your Repositories for Hardcoded Secrets With gitleaks » Here are some tips for running secret scans with gitleaks and Jit Integrating Gitleaks into the SDLC Integrating Gitleaks into the SDLC is a simple process that can significantly enhance the security of your repositories. Here are the steps to set it up: Install Gitleaks: Use the command line to install Gitleaks with a simple command: go get github.com/zricethezav/gitleaks/v7 Use pre-configured detection patterns: Start by using pre-configured detection patterns available from Gitleaks, which cover common secrets and sensitive information.Customize detection patterns: Customize or create new detection patterns to address specific security concerns unique to your codebase.Automate in CI/CD pipelines: Integrate Gitleaks into your CI/CD pipelines by adding a Gitleaks scan step to your build process. This ensures that repositories are automatically scanned for hardcoded secrets each time code is pushed or merged. » See the developer guide to implementing gitleaks 4. Scan Your Infrastructure as Code for Cloud Vulnerabilities With KICS » Review the best cloud security tools Integrating KICS into the SDLC Integrating KICS into the software development lifecycle (SDLC) is straightforward, especially within secure CI/CD pipelines for automated scanning. Here are the steps to integrate KICS: Install KICS: You can install KICS using Docker or directly from the source. For Docker, use the command: docker pull checkmarx/kics Set up scanning: Configure KICS to scan your IaC files. You can create a configuration file to specify the types of scans and rules you want to apply.Automate scans in CI/CD pipelines: Add KICS to your CI/CD pipelines to automatically scan IaC files during the build process. This ensures that any vulnerabilities are detected and addressed early in the development process. » See these other great IaC security tools Example KICS Configuration With GitHub Actions name: KICS Scan on: [push, pull_request] jobs: kics-scan: runs-on: ubuntu-latest steps: - name: Checkout code uses: actions/checkout@v2 - name: Install Docker run: sudo apt-get install docker.io - name: Run KICS run: docker run -v $(pwd):/kics-project checkmarx/kics:latest -p /kics-project Regular scans of IaC files help maintain secure configurations as your infrastructure evolves. » See our list of IaC security essentials 5. Implement CI/CD Misconfiguration Checks with Legitify Integrating Legitify into the SDLC Integrating Legitify into the SDLC involves setting it up to automatically audit CI/CD configurations during the build and deployment process. Here are the steps to integrate Legitify: Install Legitify: You can install Legitify using the command: go get github.com/circa10a/legitifyConfigure Legitify: Set up Legitify to audit your CI/CD configurations by creating a configuration file that specifies the rules and checks you want to apply.Automate audits in CI/CD pipelines: Add Legitify to your CI/CD pipelines to automatically audit configurations during the build and deployment stages. » Take a deeper dive into Legitify to detect CI/CD misconfigurations Example GitHub Actions Configuration name: Legitify Scan on: [push, pull_request] jobs: legitify-scan: runs-on: ubuntu-latest steps: - name: Checkout code uses: actions/checkout@v2 - name: Install Legitify run: go get github.com/circa10a/legitify - name: Run Legitify run: legitify scan --config .legitify.yaml Regular reviews and audits of CI/CD systems help maintain secure configurations over time. » Need more help? Here's how to use Legitify to detect misconfigurations Simplifying Security for Startups With Jit Jit is a DevSecOps platform specifically designed to streamline the implementation of multiple security tools for startups. It provides an integrated approach to security management, consolidating various tools into a single, cohesive platform. By doing so, Jit simplifies the complex task of managing security across different stages of the SDLC. Jit integrates powerful tools such as Semgrep, OSV Scanner, Gitleaks, KICS, and Legitify, offering comprehensive security coverage from code vulnerabilities to infrastructure misconfigurations. This unified platform helps startups maintain robust security practices without the need for extensive resources or expertise. » See Jit's platform overview Benefits of Using Jit Integrated and unified security solutions: Jit consolidates various tools into a unified platform, reducing complexity and making it easier to manage security across different stages of the SDLC.Developer-friendly: Developers never need to leave their environment to surface and resolve code vulnerabilities. With fast scanning times and auto remediation, developers to independently resolve issues before production.Cost-effective: Moreover, Jit offers a pricing structure that is highly affordable for startups. It is free for a team consisting of up to three developers, making it accessible to small teams. For larger teams, the cost is $50 per developer per month, providing a scalable and affordable security solution. » Discover the key techniques every DevSecOps pro needs By leveraging Jit, startups can enhance their security posture effectively and efficiently, ensuring that they are protected against a wide range of security threats while maintaining focus on their core development activities.

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A Primer for Navigating ISO 27001

ISO 27001 is a prominent cybersecurity framework that plays a crucial role in helping businesses manage and protect their information assets. As the international standard for information security management systems (ISMS), ISO 27001 provides a systematic approach to managing sensitive company information so that it remains secure. Why Bother With ISO 27001? This framework encompasses people, processes, and IT systems by applying a risk management process, and is globally recognized for establishing, implementing, maintaining, and continually improving security. Organizations and DevSecOps professionals adopt ISO 27001 to enhance their security posture and demonstrate their commitment to stakeholders, customers, and partners. Compliance with this standard helps significantly reduce the risk of security breaches that can damage reputations and incur financial costs. By adhering to ISO 27001, companies can show that they have implemented best-practice information security processes. This standard is crucial for not only preventing but also effectively managing security incidents when they occur, thus ensuring business continuity, minimizing damage, and maximizing return on investments. » Need more help? Discover the 6 DevSecOps best practices Challenges to Implement ISO 27001 The most notable challenge is the extensive need to develop comprehensive internal policies for information security management. Organizations must methodically assess their information security risks, considering threats, vulnerabilities, and impacts to establish effective security controls and risk treatment methods. Defining these policies can be daunting, requiring a deep understanding of internal operations and alignment with business objectives. Of course, automated solutions like Vanta and Drata can alleviate these challenges by streamlining policy generation and management. These platforms provide templates and tools that help organizations quickly develop and implement ISO 27001-compliant policies, saving time and reducing errors. Core Risk Management Processes in ISO 27001 ISO 27001 emphasizes a structured approach to risk management, which is central to the effectiveness of an information security management system (ISMS). This involves identifying potential risks to information security and implementing appropriate measures to mitigate them. Specifically, ISO 27001 is divided into 14 sections, totaling 114 topics (or requirements). We won’t cover all of them here, but we’ll review some of the core requirements that can make a measurable impact on your security posture. 1. Human Resource Security Human resource security is a critical component of ISO 27001. It focuses on reducing the risks associated with insider threats and ensuring that all employees are equipped to uphold the organization's security protocols. This involves rigorous screening and ongoing training to foster a security-aware culture. Screening for employees: Effective screening processes help prevent potential security threats from within, ensuring all new hires meet established security standards. Training and educating employees: Continuous education on security practices helps maintain awareness and reduces the risk of security breaches caused by human error. 2. Asset Management The careful tracking and management of assets is vital for securing resources and ensuring that all items are accounted for. This can be critical in preventing unauthorized access and effectively managing security breaches. A detailed inventory helps track all assets and ensures each one is under the control of a designated responsible party, which is critical for responding to security incidents promptly. >> Dive deeper into the challenges and benefits of attack surface management, which is closely related to asset management. 3. Cryptography Cryptography is essential for safeguarding the confidentiality, integrity, and authenticity of information. It involves employing strong encryption standards such as AES and managing cryptographic keys effectively to protect data against unauthorized access and breaches. Define cryptographic controls: Specifying which cryptographic methods to use can help secure sensitive data effectively against unauthorized access. Key management lifecycle: Proper management of cryptographic keys prevents unauthorized access to encrypted data, maintaining confidentiality and integrity. 4. Protection from Malware Ensuring robust defense against malware and malicious code is integral to protecting organizational infrastructure from potentially devastating attacks. Endpoint detection solutions like CyberReason and CrowdStrike safeguard systems against malware, which is critical for preventing data breaches and maintaining system integrity. 5. Security in Development and Support Processes Incorporating security measures throughout the software development lifecycle is essential to minimize vulnerabilities and enhance the overall security of software products. By implementing security into the software development lifecycle, you can ensure that all phases, from design to deployment, are conducted under strict security guidelines. » Don't fully understand? Make sure you know the SDLC categories and tools System security testing is integral to ensuring that all code and systems are robust against potential security threats before they go live. This rigorous testing is necessary to catch vulnerabilities that could compromise the security of the software and the data it handles. Example policies under system security testing: Scanning every pull request to detect security issues before integrationNew code cannot be merged until critical vulnerabilities are fixed, ensuring that security is prioritizedSecrets cannot be committed into the codebase to prevent the exposure of sensitive informationOpen source components with critical vulnerabilities cannot be merged, maintaining the security integrity of external dependencies 6. Vulnerability Management Effective vulnerability management is crucial for identifying, assessing, and mitigating risks associated with security weaknesses before they can be exploited. You should define responsibilities and procedures and conduct regular assessments of the information security events to proactively manage and respond to vulnerabilities. Learn about seven steps to implement effective vulnerability management. Streamlining Risk Management: Automating Key Security Processes Automating risk management processes not only streamlines operations but also ensures consistent and continuous security monitoring and response. By integrating advanced tools into these processes, organizations can proactively manage risks and address security issues with greater efficiency and reduced human intervention. 1. For Security in Development and Support Policy Implementing security directly into the development and support processes is crucial for identifying and mitigating risks early in the software lifecycle. This is achieved by using various specialized tools: » Learn more about the top SAST tools and DAST tools 2. For Asset Management Effective asset management is automated through tools that can monitor and manage the security of IT assets across the network: » See our top continuous security monitoring tools 3. For Incident Management Rapid and effective incident management is facilitated by using tools designed to detect, respond to, and mitigate security incidents: Doing It With Jit Implementing ISO 27001 can be streamlined significantly with Jit, a platform that integrates seamlessly into existing development workflows to automate and simplify compliance and security processes. By using Jit, organizations can deploy a comprehensive security strategy quickly and efficiently, ensuring all aspects of the ISO standard are met without the heavy manual overhead. Minimal Viable Security Plan Our Minimal Viable Security Plan (MVS) is designed to quickly elevate an organization's security to a baseline level of compliance with established standards like ISO 27001. By providing essential product security controls that are easy to implement and manage, the MVS plan ensures that organizations can meet critical security requirements without extensive customization or prolonged setup times. This plan is ideal for companies looking to enhance their security posture efficiently while maintaining focus on their core business operations. » Learn more about Minimum Viable Security Baseline security controls: Jit offers a set of fundamental product security controls that every organization can implement liek SAST, SCA, and secrets detection (among many others). These controls form a baseline of security that meets the minimum requirements for protection against common threats. Rapid deployment: The MVS framework is designed for quick implementation, allowing organizations to reach compliance baselines in minutes rather than months. Seamless integration: Jit facilitates the integration of security controls into development environments, interacting directly with IDEs, pull requests, and runtime processes, which simplifies the adoption of security practices throughout the software development lifecycle. Navigate ISO 27001 Faster With Jit Adopting a framework like ISO 27001 not only enhances an organization's security posture but also demonstrates a commitment to safeguarding data for stakeholders and customers. By systematically applying the guidelines provided by ISO 27001, businesses can significantly reduce the risk of security breaches and improve their overall information security management. With the right automated strategies and tools, like Jit's Minimal Viable Security Plan, navigating the complexities of ISO 27001 implementation can be streamlined.

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DevSecOps Education and Training: 3 Ways to Build a Security-Aware Engineering Workforce

While most developers aren't security experts, they oversee a significant attack surface for many companies: web applications. Many security teams make huge investments into application security tools, yet still struggle to beat back attackers trying to exploit vulnerabilities in web applications. This is largely due to the challenges of implementing application security tools in a developer-friendly manner - which are known for bombarding developers with issues that may not pose real risks. In this article, we'll examine a few strategies to build a security-aware engineering workforce, so that development teams can more consistently deliver secure code. 1. Identify Security Champions Somewhat ironically, the application security team is often the bottleneck for hardened application security. At no fault of their own, they are often outnumbered by developers 100 to 1, which is why development teams shouldn't rely solely on their expertise. Creating a security-aware workforce starts with identifying and empowering security champions within your engineering team. These champions act as internal advocates and experts, fostering a culture of security awareness and best practices. Security champions are typically senior engineers or team members with a strong interest and expertise in security. They provide personalized support, serve as go-to resources for security-related questions, and lead by example in promoting secure coding practices. To build security champions, consider: Sending these champions to conferences hosted by organizations like OWASP to stay on top of the latest application security risks and trends. Training them on malicious code examples preventing common vulnerabilities like javascript injectionsEnsure they're familiar with DevSecOps skills and techniques to build out automated DevSecOps pipeline for their team 2. Purchase Continuous Training Programs or Tools Investing in structured training tools like Secure Code Warrior is another strategy many companies take to help enable their developers, which can provide comprehensive, interactive learning experiences tailored to different skill levels. These platforms offer continuous education, keeping engineers updated with the latest security threats and best practices. Secure Code Warrior, for instance, offers gamified training modules that engage developers and make learning about security enjoyable and practical. Such tools provide structured learning paths, real-world scenarios, and hands-on exercises that help engineers understand and mitigate security vulnerabilities effectively. 3. Use Tools Like Jit for Automated Feedback A third option to educate developers is to provide continuous feedback on the security of their code. Tools like Jit scan every code change for security issues and provides remediation guidance and a suggested code change to resolve the issue. While most code security testing tools list issues in a backlog within a third party UI, Jit delivers feedback entirely within the development environment so developers don't need to context switch. Immediate feedback: With tools like Jit, developers receive real-time insights into the security implications of their code changes, allowing for quick remediation. This instant feedback loop helps prevent security issues from progressing further into the development lifecycle. Continuous improvement: Regular feedback encourages developers to learn from their mistakes and adopt better security practices over time.Scalability: Automated tools like Jit can be applied across the entire development team without overwhelming individual resources. These tools can scale across codebases quickly, making them suitable for teams of any size, effectively ensuring consistent security practices. Case Study: How ShopMonkey developers use Jit to resolve security issues at the code change ShopMonkey delivers an all-in-one platform for auto repair shops to manage customer communication, finances, inventory, and other elements of running an auto shop. They integrated Jit into their CI/CD pipeline, providing developers with instant feedback on the security of their code. Before Jit, ShopMonkey had a variety of security testing tools that developers struggled to adopt. Security issues were documented in multiple different UIs, which made it difficult to implement a unified strategy for prioritization. With Jit, ShopMonkey realized benefits like:Improvements in overall security posture through developer enablement: ShopMonkey realized improvements in the overall security posture of applications come from developers being more aware of security issues and how to address them. With regular feedback on the security of their code, developers learned best practices for secure development.Faster development velocity: The process before Jit required developers to triage vulnerabilities that were already in production, which interrupted day-to-day routines to deliver new features. Jit helped developers secure their code from the start, which reduced triage cycles for vulnerabilities in production. Streamlining Your DevSecOps Training Implementing a security-aware workforce is essential for any organization aiming to integrate DevSecOps best practices effectively. By identifying security champions, investing programs for secure development training, and automated testing tools like Jit, companies can build a robust foundation for security education. These strategies help ensure that engineers are equipped with the knowledge and resources they need to address security challenges proactively. Moreover, security should be thought of as an ongoing process that requires continuous vigilance and improvement. Encouraging developers to integrate these practices into their daily workflow helps maintain high security standards and fosters a culture of security awareness. Combining different approaches to security allows organizations to achieve comprehensive and effective security training, ultimately safeguarding their applications and data. » Learn more: Developer's guide to DevSecOps tools and processes

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Secure Code Reviews: Checklist for Developers

Secure code reviews are vital for maintaining high standards of code quality and security in the software development lifecycle (SDLC). When developers resolve security issues early in the SDLC, they can reduce risk before production while eliminating the painful feedback loops of triaging production issues back to developers. In this article, we'll provide a brief checklist for developers to enhance code security and integrate these practices into regular code review processes. » Secure your code pipeline with CI/CD security checks 1. Input Validation Input validation is the process of ensuring that all inputs are validated, sanitized, and verified. This involves checking the data coming from users or other external sources to ensure it meets the expected format and content. Importance of Input Validation Input validation prevents injection attacks and other vulnerabilities caused by harmful inputs like malicious code. Proper input validation stops attackers from inserting harmful data into the system that could lead to security breaches like SQL injection or buffer overflows. However, by rigorously validating inputs, developers can safeguard applications against a wide range of potential threats to ensure data integrity and protect sensitive information from malicious exploits. » Learn how to prevent Javascript injection vulnerabilities How to Fulfill Implement input validation using whitelist approaches, which only allow acceptable dataSanitize all inputs to remove potentially harmful charactersUse built-in functions and libraries for data validation to ensure consistency and reliabilityRegularly update validation rules to adapt to new threats 2. Output Encoding Output encoding is the process of encoding data before sending it to the client. This involves converting data into a safe format before rendering it to prevent the execution of malicious scripts.In simple terms, proper output encoding ensures that any potentially harmful data is treated as plain text rather than executable code. Importance of Output Encoding Output encoding prevents cross-site scripting (XSS) attacks by ensuring that data is safely rendered in the browser. By properly encoding data, developers can prevent attackers from injecting and executing malicious scripts, which could compromise user information and application integrity, leading to a massive data breach. This is essential for maintaining a secure user experience and protecting against various web-based attacks. » Secure your applications with these open source tools How to Fulfill Use context-specific encoding functions, such as HTML, JavaScript, and URL encodingUtilize encoding libraries and frameworks that automatically handle output encodingRegularly review and update encoding practices to align with the latest security standards 3. Authentication and Authorization Authentication and authorization are two critical components of application security:Authentication ensures that users are who they claim to beAuthorization determines what actions they are allowed to performSecure mechanisms must be in place to verify user identities and enforce access controls. Importance of Authentication and Authorization This is an easy one - strong authentication and authorization mechanisms protect sensitive information and maintain the integrity of the application by ensuring that only verified users can interact with the system. How to Fulfill Use strong authentication methods, such as multi-factor authentication (MFA). Use technologies like CSPM tools to check MFA across users.Enforce session management practices to protect and monitor user sessionsApply role-based access control (RBAC) to define and enforce user permissions 4. Error Handling and Logging Error handling and logging documents specific events within your system, which are needed to diagnose security incidents. This is a requirement for most cyber security and compliance standards. Importance of Error Handling and Logging Secure logging practices help in incident response by providing detailed records of system activities, which are crucial for diagnosing issues and understanding the nature of security incidents. Security Incident and Event Management (SIEM) systems like SIEM and Logz.io are great for collecting, correlating, and analyzing log data that can provide visibility into user sessions and events. Ignoring logging could lead to undetected vulnerabilities or ongoing attacks. How to Fulfill Log detailed errors securely, ensuring that logs do not expose sensitive informationEmploy centralized logging or SIEM solutions to aggregate and analyze logs from various sourcesSet alerting mechanisms that monitor logs regularly to detect and respond to potential security incidents promptly 5. Secure Dependencies Regularly maintaining, updating, and scanning these secure dependencies for vulnerabilities helps to mitigate the risk of known vulnerabilities being exploited. This practice ensures that all components used in the application are secure and up-to-date, reducing the risk of security breaches. Software Composition Analysis (SCA) tools are designed to scan open source components and list the relevant vulnerabilities, which can be integrated into your SDLC. While SCA can automate open source security, its known for being noisy and presenting "issues" that don't introduce real risks. Learn how to manage product security risks easier with efficient vulnerability prioritization. Importance of Secure Dependencies Using outdated or vulnerable dependencies can expose applications to significant security risks, while regularly updating and scanning dependencies ensures that known vulnerabilities are patched, reducing the risk of attacks leveraging old vulnerabilities. This proactive approach is essential for maintaining a secure and reliable application environment where developers can ensure that their applications are protected against known threats. » Learn more: How to prevent dependency confusion attacks How to Fulfill Use dependency management tools like Jit to track, manage, and secure third-party librariesMonitor vulnerability databases to stay informed about known vulnerabilitiesApply patches promptly to address the identified vulnerabilitiesRegularly review and update dependencies to ensure they are secure and up-to-date 6. Data Encryption Data encryption is the process of encoding data to protect it from unauthorized access. Encrypting sensitive data both in transit and at rest ensures that it remains secure, even if intercepted or accessed by unauthorized parties. Importance of Data Encryption It goes without mentioning that encryption protects sensitive information—such as user data, financial records, and personal details from being intercepted or accessed by unauthorized parties. With data encryption, developers can ensure that the information being sent remains confidential and secure, thereby maintaining user trust and compliance with data protection regulations. How to Fulfill Use industry-standard encryption protocols, such as TLS for data in transit and AES for data at restRegularly review and update encryption keys and algorithms to ensure they remain secure 7. Least Privilege Principle The principle of least privilege ensures that code and processes operate with the minimum level of privileges necessary to perform their functions, minimizing the potential impact of a security breach by restricting access rights for users and systems. Importance of the Least Privilege Principle Limiting access rights reduces the potential damage that can be caused if a system is compromised. Attackers will often try to escalate their own privileges to access different parts of a system - this can be mitigated by enforcing principles of least privilege. How to Fulfill Assign the least amount of privilege necessary for processes and users, except for major roles such as administratorsRegularly review and adjust permissions to ensure they align with current needs and security policiesImplement role-based access control (RBAC) to define and enforce user permissionsConduct periodic audits of access rights to identify and address any excess privileges 8. SQL Injection Prevention Using parameterized queries and ORM frameworks to interact with databases helps drastically prevent SQL injection attacks. These practices ensure that user inputs are treated as data and not as executable code, thus protecting the database from malicious inputs. Importance Preventing SQL injection attacks is crucial for maintaining the integrity and security of the database. By ensuring that user inputs are handled securely, developers can protect sensitive information and prevent attackers from executing harmful commands. SQL injection attacks can lead to data breaches and other security issues, making prevention a critical aspect of database security. How to Fulfill Avoid direct concatenation of user input in SQL queriesUse prepared statements and ORM tools to handle database interactionsValidate and sanitize inputs before using them in queriesRegularly review and update database interaction practices to align with current security standards 9. Session Management Implementing secure session management practices ensures that user sessions are handled securely, protecting them from hijacking and other attacks. Importance Proper session management helps prevent unauthorized access, session hijacking, and other security threats by controlling how sessions are initiated, maintained, and terminated. By enforcing strong session policies, such as timeouts, unique session identifiers, and secure storage, organizations can protect sensitive data and maintain the integrity of user interactions within their applications. How to Fulfill Use secure cookies and implement session timeouts to protect user sessionsRegenerate session IDs after login to prevent session fixation attacksInvalidate sessions after logout to ensure that they cannot be reused 10. Secure Configuration Ensuring that all software and hardware configurations are secure is crucial for reducing the risk of exploitable settings. Proper configuration helps minimize unnecessary functionality and effectively reduces the general attack surface. » Learn these principles of secure design in software development Importance As mentioned before, reducing the attack surface by minimizing unnecessary functionality is crucial for maintaining a secure application environment. This is because mass misconfigurations can lead to an array of security vulnerabilities, making secure configuration an essential aspect of application security. How to Fulfill Follow security configuration guidelines and best practicesDisable unused features and services to minimize the attack surfaceRegularly review and update configurations to align with current security standardsUse tools like Chef, Puppet, or Ansible for automated configuration management » Learn more: Secure software development lifecycle (SSDLC) 11. API Security Securing APIs by implementing rate limiting, proper authentication, authorization, and input validation is essential for protecting against unauthorized access and attacks. Importance API security is vital for protecting sensitive data because APIs often serve as the gateway to backend systems, databases, and services where this data is stored. How to Fulfill Use API gateways to manage and secure API trafficEnforce rate limiting to prevent abuse and ensure fair usageValidate input thoroughly to prevent injection attacks and other vulnerabilitiesEmploy OAuth for secure API authentication and use API management tools like Apigee or Kong 12. Security Testing Conducting regular security testing, including Static Application Security Testing, Secrets Detection, Software Composition Analysis, and IaC scanning can automatically detect vulnerabilities within the CI/CD pipeline, so developers can resolve issues before production. Importance Many of the potential security flaws discussed throughout this article can easily fall through the cracks during a manual review. Implementing automated security testing for every code change can help developers catch and resolve tricky issues that could have otherwise gone unnoticed. How to Fulfill Use automated security scanning tools like Jit to continuously monitor for security issuesEngage third-party security experts for comprehensive security assessmentsIntegrate security testing into the CI/CD pipeline for continuous monitoring and feedback Secure Code Reviews Are a Must Each item on this security checklist plays a vital role in enhancing code security and maintaining the integrity of software systems. From input validation and output encoding to secure dependencies and error handling, there are many items to track and manage. Tools like Jit can automate many of these code review processes to avoid tedious and time-consuming reviews. Moreover, developers and DevSecOps professionals should make these practices an integral part of their daily workflow to build a security-first culture within their organizations. Security is not a one-time task but a continuous process that requires ongoing vigilance and improvement. By integrating these best practices into the development lifecycle, teams can proactively address security challenges and safeguard their applications against evolving threats. Staying updated with the latest security trends and tools and regularly reviewing and enhancing security measures is essential to maintaining a strong security posture in the ever-changing landscape of cyber threats.

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7 Common Security Misconfigurations and How to Avoid Them

Nowadays, the complexity and scale of modern systems have, unfortunately, increased the risk of security breaches. When these systems are not properly managed, they can easily become vulnerable to attacks. Cybersecurity threats are evolving rapidly, and it is crucial for organizations to stay ahead of potential risks.     In this blog, we aim to highlight common security misconfigurations and provide practical advice on how to avoid them. By understanding these pitfalls, developers and IT professionals can safeguard their systems and protect sensitive data. » Get your security under control with our full application security coverage Understanding some notable breaches that have occurred in the past will provide valuable insights into the vulnerabilities and threats we need to address. » Discover the importance of DevSecOps compliance solutions  1. Default and Weak Credentials Default or weak credentials are a common security oversight in many systems, including applications, databases, and cloud services. During the initial setup of devices, software, or cloud instances, default credentials often remain unchanged, which poses a substantial security risk. » See these fundamentals for cloud-native applications security Why It's Dangerous Attackers can easily exploit systems with default or weak credentials using automated tools designed to detect these vulnerabilities. Such exploitations can lead to unauthorized access and extensive data breaches that could potentially give attackers control over critical systems, significantly increasing security risks and impacts on the organization. How to Avoid It Immediate action: Change default credentials immediately after systems are installed or set up. This initial step is crucial in preventing attackers from easily accessing systems with known default credentials. Password policies: Create strong, unique passwords for all systems and implement multi-factor authentication (MFA) to significantly enhance security measures against unauthorized access. Implement password complexity requirements to ensure that passwords are difficult to guess or crack.Regular updates: Regularly update all software, firmware, and passwords to protect against the latest security vulnerabilities. Schedule regular maintenance checks to ensure that all systems are running the most current and secure versions of software. » Vulnerability prioritization is the first step to remediation Open Source Tools to Automatically Scan for Vulnerabilities Nmap: This network scanner identifies systems still using default credentials. It utilizes scripts that check for common default login details on exposed services, aiding in the prompt identification and rectification of such vulnerabilities. OpenVAS: Known for its comprehensive vulnerability scanning capabilities, OpenVAS includes specific checks for default and weak credentials across various systems. This tool helps organizations detect and address security gaps before malicious actors can exploit them. 2. Insecure Default Settings Insecure default settings refer to initial configuration parameters set during the installation of software and systems, which are often neglected and left unchanged. Common examples include databases configured to allow open access or software installations where critical security features are disabled by default. These settings are typically intended for initial testing or ease of setup and are not suitable for production environments without proper hardening. » Here's how to harden IaC security with KICS Why It's Dangerous Leaving default settings unchanged can significantly expose systems to a variety of security risks, providing attackers with easy opportunities to exploit these vulnerabilities. This negligence not only increases the attack surface but also complicates the overall security architecture, making systems inherently more challenging to secure and manage effectively. If exploited, the implications extend beyond individual systems to potentially jeopardize the entire network. » Don't forget to implement a vulnerability management program How to Avoid It Security best practices: This includes hardening configurations and enabling necessary security controls tailored to the operational environment.Disable unnecessary features: Proactively disable any features, services, or settings that are not essential to the system's function. Minimizing the number of active components reduces potential entry points for attackers. Open Source Tools to Automatically Scan for Vulnerabilities Prowler: Designed specifically for AWS environments, Prowler provides comprehensive checks against AWS security best practices, including robust access control validations. It helps identify misconfigurations and security risks, enabling teams to enforce stringent access controls. » Learn more about AWS security with these top AWS security tools 3. Lack of Security Updates The failure to apply security patches and updates to software, systems, and devices represents a significant oversight in maintaining system integrity. This issue arises when organizations do not manage their update processes effectively, leaving vulnerabilities that are publicly known and have available patches unaddressed. These gaps occur due to various factors, including the complexity of deployment environments, oversight, or resource constraints. » Make sure you know the difference between vulnerability assessments and penetration testing Why It's Dangerous Systems that lack timely updates become prime targets for cyber attackers. These adversaries exploit known vulnerabilities to gain unauthorized access, disrupt services, or execute malicious actions. The risks associated with unpatched software can lead to severe consequences, including data breaches, ransomware attacks, and extensive operational disruption. Unpatched vulnerabilities serve as the entry point for attackers to infiltrate networks and escalate their privileges within the system architecture. » Start with the software development lifecycle security categories How to Avoid It Routine patch management: Establish a regular patch management process that ensures regular updates and timely application of security patches. This system should include review and deployment schedules that align with the critical nature of the updates and the vulnerabilities they address. Automate update processes: Utilize automated tools to monitor and apply updates across all systems. Automation helps eliminate human error and ensures that updates are applied consistently, reducing the window of opportunity for attackers to exploit outdated software. » Need more help? See our guide to choosing and automating security frameworks Open Source Tools to Automatically Scan for Missing Updates OpenVAS: A powerful vulnerability scanner that checks systems for known vulnerabilities and missing patches. OpenVAS provides administrators with detailed reports and actionable recommendations for remediation, helping to fortify security by ensuring systems are up-to-date. » Need more tools? Here's our list of continuous security monitoring tools 4. Improper Access Controls Improper access controls occur when systems fail to adequately restrict user access based on defined roles or security policies. These shortcomings often result from misconfigurations during initial setup or due to oversight in maintaining strict access guidelines over time. Common examples include cloud storage buckets configured for public access and applications lacking rigorous role-based access control (RBAC) mechanisms. Why It's Dangerous Inadequate access controls can lead to unauthorized access to sensitive data or critical systems, significantly increasing the risk of data breaches. This exposure can allow attackers to exploit these vulnerabilities to perform malicious actions such as data theft or modification. Moreover, improper access controls can facilitate privilege escalation, enabling attackers to gain higher levels of access than initially intended. Such escalations can lead to severe security compromises, affecting the broader network or data environment. How to Avoid It Implement the "least privilege" principle: Ensure that all users and systems have only the access necessary to perform their functions. This principle minimizes the potential impact of a compromise by limiting access to essential resources. Conduct regular audits: Regularly review and audit access permissions to confirm they align with current security policies and operational requirements. These reviews help identify and rectify excess permissions or outdated access rights that could pose security risks. Open Source Tools to Automatically Scan for Access Control Issues CloudSploit: This tool performs automated security audits of cloud environments to identify risks, including improper access controls. CloudSploit's audits help organizations ensure their cloud configurations adhere to security best practices, preventing unauthorized access. 5. Insufficient Logging and Monitoring Insufficient logging and monitoring refer to the failure to adequately record security-related events or effectively track system activities for anomalies, potentially leading to data exfiltration. This misconfiguration can be seen in scenarios where systems lack comprehensive logs, preventing the detection and investigation of unauthorized access attempts or data breaches. Why It's Dangerous The absence of detailed logging and robust monitoring severely impairs an organization's capacity to swiftly detect and respond to security incidents. This lack of visibility can allow malicious activities to persist undetected, potentially leading to severe data loss or system compromise. Furthermore, inadequate logging compromises the forensic analysis and hinders the ability to understand the scope of an attack, evaluate the impact, and prevent future breaches. How to Avoid It Implement comprehensive logging: Develop and deploy a thorough logging strategy that captures all relevant security events across every system and application within the organization’s network, ensuring that any suspicious activity is logged and available for review. Utilize centralized monitoring: Employ centralized monitoring solutions that consolidate logs from various sources. These systems analyze the aggregated data to detect anomalies and provide real-time alerts, enabling prompt responses to potential security threats. Open Source Tools to Implement Logging and Monitoring Elasticsearch, Logstash, Kibana (ELK Stack): This trio offers a powerful suite for handling log data. Elasticsearch acts as a search and analytics engine, Logstash is used for log parsing and ingestion, and Kibana serves as the analytics and visualization platform. Together, they provide an effective solution for managing and analyzing large volumes of log data, enhancing the detection and response capabilities of security teams. You can learn more about the ELK stack here. 6. Incorrect Security Group and Firewall Rules Incorrectly configured security groups or firewall rules can lead to unintended or overly permissive traffic that might jeopardize network security. For example, leaving ports open to the internet that should be restricted, or exposing internal networks to unnecessary external traffic can provide avenues for attackers. » Not sure what to look for? See these examples of malicious code Why It's Dangerous Misconfigured security groups and firewall rules can expose systems to external attacks, making unauthorized access or data leaks more feasible. The broader implications for network security include increased vulnerability to attacks that facilitate unauthorized access as well as the potential for attackers to move laterally within compromised networks, exacerbating the scope and impact of breaches. How to Avoid It Strict traffic rules: It's crucial to implement strict rules for inbound and outbound traffic, allowing only necessary and authorized communications. Regular audits: Conducting regular reviews and audits of security group and firewall configurations are also recommended to ensure they continually adhere to best security practices. Open Source Tools to Automatically Scan Applications Wazuh: This tool monitors security events from various sources and provides a detailed analysis of firewall rules and security group configurations. By integrating Wazuh, organizations can enhance their ability to detect misconfigurations and apply corrections promptly. 7. Misconfigured Encryption Settings Misconfigured encryption settings can critically undermine data security by failing to properly protect data both in transit and at rest. Common issues include using outdated encryption protocols, weak encryption keys, or failing to encrypt sensitive data altogether. These vulnerabilities can leave data exposed and susceptible to interception or unauthorized access. » Here's how to avoid mass misconfigurations Why It's Dangerous Weak or absent encryption can expose sensitive data to unauthorized parties, significantly increasing the risk of data breaches. Attackers can exploit these vulnerabilities to access and manipulate data, compromising both its confidentiality and integrity. This not only affects the immediate security of the data but also undermines the trust stakeholders place in an organization's ability to safeguard information. How to Avoid It To prevent these issues, it is essential to use strong and up-to-date encryption standards, such as AES-256, ensuring all sensitive data is protected both in transit and at rest. Organizations should also conduct regular reviews and updates of their encryption configurations to stay in line with evolving security standards and best practices. » See these key techniques every DevSecOps pro needs Open Source Tools to Automatically Scan Applications SSLyze: This tool is designed to analyze the SSL/TLS configuration of servers, effectively detecting weak or outdated encryption protocols and configurations. It provides critical insights necessary for strengthening cryptographic practices and includes features to automate the scanning process, making it easier to identify and address security vulnerabilities in server configurations. About Jit Jit scans your cloud environment to surface the misconfigurations described in this article using Cloud Security Posture Management (CSPM). That said, identifying security misconfigurations is just one part of a larger devsecops objective: to secure your apps and data in the cloud, which requires other controls like SAST, SCA, secrets detection, container scanning, IaC scanning and more. Jit unifies all of these controls within a single platform to prevent tool sprawl and siloed security monitoring.  Plus, Jit uses contextual prioritization to highlight the top security findings based on their runtime context – like whether they're in production or exposed to the internet. This helps our users stay focused on the real risks, while weeding out the noise. Benefits of Using Jit Integrated security checks: Jit enhances the security of development projects by automating the detection of security misconfigurations throughout the CI/CD pipeline. This continuous protection ensures that security considerations are embedded from the earliest stages of software development, reducing vulnerabilities and enhancing the secure design of software development.Developer-friendly: Jit’s platform was built to help developers consistently resolve vulnerabilities before production, featuring tools and interfaces that are intuitive and easy to integrate into existing development workflows. This design philosophy helps to lower the entry barrier for implementing robust security measures, making it simpler for developers to incorporate security best practices into their daily tasks.Continuous monitoring and alerts: Jit’s monitoring enables developers and security teams to respond promptly to potential vulnerabilities, while measuring security posture improvement over time.

A Guide to Designing and Building Secure SaaS Applications
A Guide to Designing and Building Secure SaaS Applications

SaaS applications are now the backbone of modern business, but their growing complexity has also made them prime targets for cyberattacks. According to IBM, data breaches cost companies an average of $4.88 million, with SaaS environments facing increasing threats from API vulnerabilities, misconfigurations, and weak access controls. In fact, one in three breaches stemmed from shadow data (untracked or mismanaged information) highlighting the risks of poor data governance. In simple terms, attackers are constantly finding new ways to exploit security gaps, making traditional security approaches ineffective. Organizations must take a proactive security-by-design approach, integrating automation, strict access controls, and continuous monitoring into their SaaS infrastructure from the start to stay ahead of evolving threats. » Build secure SaaS applications with Jit's Product Security Platform Key Challenges of Securing SaaS Applications How Modern SaaS Architectures Introduce Security Challenges SaaS applications rely on modern architectures that enhance scalability and flexibility but also introduce security complexities. As environments grow more distributed, protecting data, managing dependencies, and ensuring secure integrations become critical: Microservices: Large dependency trees introduce vulnerabilities, containerized environments often rely on outdated images, and excessive API exposure increases attack surfaces. Cloud-native environments: Misconfigurations in cloud infrastructure lead to unintended data access risks and security gaps. Open-source components: Supply chain vulnerabilities arise from using third-party libraries, especially when dependencies are outdated or poorly maintained. » Here's all you need to know about API security Why Development Teams Struggle With Security Security is often an afterthought in fast-paced SaaS development, where rapid feature releases take priority over secure design practices. Many engineers lack security expertise, leading to overlooked vulnerabilities and poor risk management. Even when security tools are available, they often create friction, slowing down workflows, generating false positives, or requiring manual intervention. As a result, security issues get pushed into the backlog as technical debt, leaving applications exposed to evolving threats. To bridge this gap, organizations must embed security into the development lifecycle with automated, developer-friendly tools that minimize disruption. » Make sure you know how to avoid these security misconfigurations Why a One-Size-Fits-All Approach to SaaS Security Fails Security risks in SaaS applications vary significantly based on architecture, industry regulations, and user expectations. A universal security approach fails to address these unique challenges each SaaS product faces: Tenancy risks: Multi-tenant SaaS platforms risk cross-customer data exposure. Strong tenant isolation (row-level security or encryption per tenant) helps prevent breaches. Regulatory compliance: Compliance requirements differ; healthcare SaaS must meet HIPAA, while fintech must comply with PCI-DSS. Early adoption of compliance-driven architecture (such as encrypting data in transit and at rest or maintaining audit logs) is essential. Security expectations: Consumer SaaS focuses on usability, often at the cost of security, while enterprises require strict access controls and compliance. Offering configurable security settings (SSO, RBAC, audit logs) ensures flexibility while maintaining security best practices. Best Practices for Secure SaaS Development Building a secure SaaS application requires more than reactive measures—it demands a proactive, security-by-design approach. Integrating robust security at every stage minimizes risks, protects data, and ensures long-term resilience against evolving threats. 1. Security-By-Design Principles Building security into SaaS applications from the ground up prevents vulnerabilities before they emerge. Secure-by-design principles ensure that security is an inherent part of architecture rather than an afterthought. Start with secure architecture: Define security controls from the beginning, incorporating access controls and encryption. Use API Gateways: Enforce authentication, rate limiting, and input validation to reduce attack surfaces. Leverage service meshes: Implement mTLS and zero-trust networking for secure microservice communication. Enforce role-based access control (RBAC): Restrict access to sensitive data based on user roles and permissions. » Learn more: The essential API security checklist 2. Proactive Risk Assessment Strategies Anticipating risks before they become breaches is essential in SaaS security, as every architectural decision impacts overall security posture. Multi-tenant environments require strong data isolation and tenant-specific encryption to prevent unauthorized access. Serverless computing introduces configuration risks, making continuous cloud monitoring crucial to avoiding security gaps. Third-party integrations pose another challenge, as external services can introduce vulnerabilities, requiring regular audits and strict API access controls to minimize exposure. » Here are our picks for the top cloud security tools 3. Developer-Friendly Security Tooling & Automation Security must fit seamlessly into development workflows to be effective, allowing developers to write secure code without compromising productivity. Automating security checks within CI/CD pipelines helps catch vulnerabilities early, while SAST tools and DAST tools provide deeper insights by detecting risks at different stages of development. » Confused? Compare SAST to DAST Manual security processes can’t keep up with the speed of SaaS development. Automated security checks, access controls, and compliance enforcement, allowing teams to focus on building software without introducing vulnerabilities. With real-time insights and automated remediation, security becomes an integral part of the development lifecycle. To further streamline security, lightweight tools integrate directly into developer environments, offering real-time feedback and automating vulnerability detection. Security tools for GitHub: Dependabot: Automatically scans dependencies for vulnerabilities and suggests updates, reducing supply chain risks. CodeQL: Performs SAST (static application security testing) to detect flaws like SQL injection and XSS before code is merged. Security tools for IDEs (VS Code, IntelliJ, Eclipse): SonarLint: Detects security gaps and code smells in real time, helping developers write more secure and maintainable code. Bandit: A static analysis tool designed for Python that scans for common security vulnerabilities in code. 4. Threat Modeling & Security Assessments Anticipating attacks is essential to preventing breaches before they occur. Threat modeling helps organizations identify vulnerabilities early, allowing them to implement stronger security measures before risks escalate. Regular security assessments, such as penetration testing and automated scans, ensure systems remain resilient against evolving threats by continuously identifying and addressing potential weaknesses. Tools for threat detection & assessment: STRIDE model: Identifies key security weaknesses in system architecture and design. MITRE ATT&CK: Maps real-world threats to improve detection and incident response strategies. Regular security testing: Includes penetration testing and red teaming to proactively strengthen defenses. 5. Fostering a Culture of Security in SaaS Teams A strong security culture starts with the mindset that security is everyone’s responsibility, not just the security team’s. Developers should be equipped with hands-on training in secure coding, while gamified security challenges like bug bounties and internal competitions make security engaging and rewarding. Encouraging close collaboration between security, DevOps, and engineering teams ensures security isn’t an afterthought—it becomes a natural, integrated part of development, strengthening defenses without disrupting productivity. Real-World SaaS Security Failures & Lessons Learned Example 1: Uber Data Breach In 2016, Uber suffered a data breach in which attackers gained access to 57 million user and driver records by exploiting AWS credentials that were mistakenly stored in a public GitHub repository. This breach underscores the critical need for securing secrets, enforcing access controls, and implementing automated secret scanning to prevent exposure. Example 2: Capital One Data Breach In 2019, Capital One, a major US bank, experienced a breach after a misconfigured AWS firewall exposed 106 million customer records, including Social Security numbers and credit scores. This case underscores the risks of cloud misconfigurations and the importance of proactive security measures, such as robust WAF configurations, continuous monitoring, and automated compliance enforcement, to safeguard sensitive data. » Implement continuous monitoring today with these continuous security monitoring tools Implement Security-By-Design in SaaS With Jit Building a secure SaaS application isn’t just about patching vulnerabilities—it’s about baking security into every stage of development. A proactive approach, combining security-by-design principles, automation, and continuous monitoring, ensures that threats are mitigated before they become breaches. Securing your SaaS shouldn’t be an afterthought or a roadblock to growth. With Jit, you get zero-trust access controls, automated compliance, and real-time security insights built right into your workflows. Instead of worrying about vulnerabilities or scrambling for audits, Jit keeps security seamless, proactive, and developer-friendly, so you can ship faster without compromising protection. What You Get With Jit Zero-trust access control: Ensure least-privilege access without manual overhead. Automated compliance: Meet SOC 2, GDPR, and other standards without the hassle. Real-time security insights: Spot vulnerabilities and misconfigurations before they become a problem. Seamless integration: Works with your existing dev tools and CI/CD pipelines for effortless security. » Ready to strengthen your security? Book a demo or try Jit for free

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npm Security Vulnerabilities: What Developers Need to Know

The world of JavaScript development thrives on the vast ecosystem of npm (Node Package Manager) packages. These readily available libraries empower us to build complex applications efficiently. Unfortunately, this convenience comes with a critical consideration: security. In recent years, npm has increasingly become a target for malicious actors, leading to a rise in security vulnerabilities that can have serious consequences for your projects and users. Understanding these vulnerabilities—where they come from, how they manifest, and how to mitigate them—is a fundamental responsibility for every developer. This post will delve into the common types of npm security vulnerabilities, highlight the risks they pose, and equip you with actionable strategies to keep your applications secure. » Learn how Jit's AI Agents can secure your apps faster What Is npm? npm (Node Package Manager) is a package manager for JavaScript, primarily used for managing dependencies in Node.js applications. It allows developers to easily install, update, and manage libraries or packages from a vast registry. npm has become foundational in both frontend and backend development by enabling efficient dependency management, version control, and collaboration. It empowers developers to quickly integrate third-party modules, automate tasks, and share reusable code, streamlining the development process across both client-side (frontend) and server-side (backend) ecosystems in JavaScript and Node.js projects. » Make sure you know how to prevent dependency confusion attacks How npm Vulnerabilities Are Discovered npm vulnerabilities are typically discovered through manual audits, automated tools (like npm audit), or through security researchers identifying flaws in packages. Once discovered, vulnerabilities are reported via GitHub repositories, security advisories, or the npm registry itself. The responsibility for maintaining awareness across the ecosystem falls on multiple parties: Package maintainers, who are expected to patch issues.Security researchers, who report vulnerabilities.npm’s security team, working to communicate and fix issues. » Learn more: Developer's guide to using npm audit 5 Most-Common npm Vulnerabilities and How to Fix Them 1. Code Injection This occurs when malicious code is introduced into your application, often through a compromised package, allowing attackers to execute arbitrary commands. Code injection vulnerabilities often appear because of improper sanitization of user input. When user input is incorporated directly into system commands or evaluated in unsafe contexts, attackers can manipulate execution. This vulnerability typically manifests when user-controlled data (like query strings or form inputs) is directly passed to OS commands or eval() calls. » Here's how to build security as code Key Risks of Code Injection Data breaches: Attackers remote executing commands could steal sensitive customer data like usernames, passwords, credit card details, personal information, and intellectual property, leading to severe reputational damage, legal liabilities, and financial losses.System compromise: Beyond data theft, injected code can grant attackers persistent access to your server. They could install backdoors, escalate privileges, and use your infrastructure for malicious activities like launching attacks on other systems.Complete server takeover: In the worst-case scenario, successful code injection can give an attacker root or administrator-level access to your application server. This level of control allows them to manipulate files, install malware, or modify configurations.Denial of service (DoS): Maliciously injected code could be designed to consume excessive server resources (CPU, memory, network bandwidth, etc.). Prevention Strategies for Code Injection Basic strategies to prevent code injection include: Favoring secure execution methods: Using 'child_process.execFile()' and similar functions with explicit file paths is crucial when you need to execute external commands. Unlike 'eval()' or 'exec()', 'execFile()' takes the command as a direct file path and arguments as a separate array, significantly reducing the risk of an attacker injecting malicious commands through user-supplied data.Principle of least privilege: When executing external processes, ensure they run with the minimum necessary privileges and avoid running them as root or with overly permissive user accounts.Input sanitization: This involves cleaning user input by removing or escaping potentially harmful characters before using it in any command or code execution context. For example, if you expect a filename, you might remove characters like semicolons (;), backticks (`), dollar signs ($), and parentheses (()), which are often used in command injection attempts.Input validation: This goes beyond sanitization by ensuring that the user input conforms to the expected format, type, and length. Use regular expressions or dedicated validation libraries to enforce strict input constraints. Crucially, don't rely solely on client-side validation; always perform server-side validation as client-side checks can be easily bypassed. » Learn more: Step-by-step guide to preventing JavaScript injections Additionally, it's essential to leverage the right security-focused tools to catch vulnerabilities early and mitigate them before they cause damage. The best tools include: npm audit: This built-in npm command is invaluable for identifying known security vulnerabilities in your project's dependencies, including those that could potentially lead to code injection. Regularly running npm audit and updating vulnerable packages is a fundamental security practice.Jit: Tools like Jit integrate security analysis directly into your development workflow, often within your Git repository, proactively identifying potential vulnerabilities like code injection risks as they emerge and automating vulnerability triage and management.Static application security testing (SAST): SAST tools analyze your codebase for potential security flaws without actually executing the code. They can identify patterns and code constructs that are known to be associated with code injection vulnerabilities.Dynamic application security testing (DAST): DAST tools test your application in a running environment by simulating attacks. While they might not directly pinpoint code injection vulnerabilities in the backend npm packages, they can detect the consequences of such vulnerabilities like unexpected behavior and data leaks. » Confused? Here are the differences between SAST and DAST 2. Vulnerable Dependencies Your project relies on other npm packages, and if any of these contain security flaws, your application can inherit those vulnerabilities. Insecure dependencies arise when projects use outdated or vulnerable libraries. This vulnerability typically shows up when using npm audit or other tools, indicating outdated or vulnerable dependencies with known exploits. It can result in software running outdated & insecure code that may not align with the latest security patches. » Take a look at our guide to the essential components for application security posture management Key Risks of Vulnerable Dependencies Exploits in production systems: This is the most direct and dangerous consequence—known vulnerabilities in your dependencies can be actively exploited by attackers. These exploits can range from relatively minor issues to critical flaws that allow for remote code execution, data breaches, or denial-of-service attacks on your live application.Compromising application integrity: Vulnerabilities can allow attackers to tamper with the intended behavior of your application. This could involve modifying data, altering business logic, or injecting malicious content, leading to untrustworthy and potentially harmful software.Data theft: As with code injection, vulnerabilities in dependencies can provide attackers with pathways to access and exfiltrate sensitive data handled by your application.Malicious code execution: Some dependency vulnerabilities allow attackers to execute arbitrary code within the context of your application's server or even the user's browser (in the case of frontend libraries). This can lead to a complete takeover of your system, installation of backdoors, or the deployment of malware. Prevention Strategies for Vulnerable Dependencies Regularly run npm audit: This command is your first line of defense as it scans your 'package-lock.json' against a database of known vulnerabilities and reports any issues found along with severity levels.Update dependencies: When npm audit identifies vulnerabilities, the primary solution is usually to update the affected package to a version that includes a fix. Be mindful of potential breaking changes when performing major version updates and ensure thorough testing after updating.Lock dependencies using package-lock.json: These files record the exact versions of all direct and transitive (nested) dependencies installed in your project, ensuring that everyone working on the project uses the same versions and preventing unexpected updates that might introduce vulnerabilities or break functionality.Avoid manual edits to lock files: Manual editing can lead to inconsistencies. Instead, use npm or Yarn commands ('npm install'/ 'npm update') to manage and map your dependencies, and the lock file will be updated automatically.Utilize software composition analysis (SCA) tools: SCA tools go beyond basic vulnerability scanning and provide a more comprehensive analysis of your project's dependencies, including license compliance and potential risks associated with outdated or abandoned packages. » Looking for tools? Here are our top free vulnerability scanners 3. Cross-Site Scripting (XSS) While often associated with web applications, XSS can arise in npm packages that handle user-provided data in web contexts, allowing attackers to inject malicious scripts into other users' browsers. XSS vulnerabilities occur when untrusted input is injected into web pages without proper escaping or from poor input validation and sanitization in the frontend. In real-world applications, XSS often manifests as malicious scripts embedded in user-generated content, which can steal cookies, session tokens, or execute actions on behalf of the user. Attackers may exploit form fields or comment sections to inject harmful scripts. Key Risks of XSS Unauthorized access to sensitive data: Attackers can inject malicious JavaScript code that can steal sensitive information when executed in a user's browser, including cookies, local storage data, session tokens, and even form data before it's submitted.Session hijacking: By stealing session tokens (often stored in cookies), attackers can impersonate legitimate users and gain full access to their accounts without needing their login credentials.Website defacement: Attackers can inject code that alters the visual appearance and content of a website from minor cosmetic changes to complete defacement, damaging the website's reputation and user trust.Spreading malware: Scripts injected through XSS can redirect users to malicious websites that attempt to install malware on their computers.Escalating privileges: In some cases, if the targeted user has elevated privileges within the application (such as an administrator), an XSS attack can allow the attacker to inherit those privileges, gaining control over sensitive administrative functions.Launching phishing attacks: Attackers can use XSS to inject fake login forms or other deceptive elements into a legitimate website to catch unsuspecting users. Prevention Strategies for XSS The first strategy you should employ is using context-aware output encoding to escape untrusted data. Consider the following: Context is key: Encode data based on where it will be rendered in the HTML document. Different contexts (HTML elements, HTML attributes, JavaScript code, CSS styles, URLs, etc.) require different encoding schemes.HTML entity encoding: For displaying untrusted data within HTML body content, you should escape characters with special meaning in HTML, such as <, >, &, ", and '.JavaScript encoding: When inserting untrusted data within <script> tags or JavaScript event handlers, you need to escape characters that have special meaning in JavaScript, such as single quotes ('), double quotes ("), backslashes (\), and forward slashes (/).URL encoding: When including untrusted data in URL parameters, you need to URL-encode it to prevent it from being misinterpreted as part of the URL structure. Other strategies include: Leverage DOMPurify libraries to sanitize input before rendering: DOMPurify is a widely respected and powerful JavaScript library specifically designed to sanitize HTML, SVG, and MathML input. It parses the input and removes any elements or attributes known to be potentially dangerous.Use Content Security Policy (CSP) headers: CSP is an HTTP response header that allows you to control the resources (such as scripts, styles, and images) that the browser is allowed to load for your web page. It acts as a crucial defense-in-depth mechanism to limit the damage even if an XSS attack manages to inject malicious code. With CSP, you can specify trusted sources for different types of resources. For example, you can instruct the browser to only execute JavaScript from your own domain or from specific trusted CDNs. 4. Resource Consumption Exceeding A malicious or poorly written package can consume excessive system resources like CPU or memory, potentially leading to denial-of-service (DoS) or performance degradation. This vulnerability occurs when the application allows users to submit input that causes excessive resource consumption (e.g., unbounded loops or inefficient queries), which can overload the server. Key Risks of Resource Consumption Exceeding Application downtime: If a part of your application or a specific npm package starts consuming excessive CPU, memory, or network bandwidth, it can overwhelm the server's resources. This can lead to the entire application becoming unresponsive or crashing, resulting in downtime and preventing users from accessing your services.Degraded performance: Even if the application doesn't crash, significant performance degradation and slow response times can frustrate users, potentially leading to abandonment.Service outages: In distributed systems or microservices architectures, excessive resource consumption in one service can cascade and impact other dependent services, leading to widespread service outages.Increased infrastructure costs: If your application consistently consumes a large amount of resources, you might be forced to scale up your infrastructure (such as increasing server size) to maintain performance and availability.Financial and reputational damage: Downtime, degraded performance, and increased infrastructure costs can all translate into direct financial losses for your business, whether through lost revenue, service level agreement (SLA) penalties, or increased operational expenses. This can severely damage your application's reputation and erode user trust. Prevention Strategies for Resource Consumption Exceeding Implement input validation: Rejecting overly large or nested data inputs can help prevent excessive resource consumption, such as enforcing limits on the size of data files your application accepts, nesting depth for overly complex data structures like JSON or XML in user inputs, and the number of elements within collections.Use rate limiting and timeouts: Rate limiting on API endpoints and critical functionalities can prevent individual users or malicious actors from making an excessive number of requests within a given timeframe. Additionally, setting appropriate timeouts for network requests, database queries, and other long-running operations prevents your application from hanging indefinitely if an external service becomes unresponsive.Integrate load testing tools: Artillery, and Lighthouse can simulate realistic user traffic and identify how your application behaves under load, helping you pinpoint areas where resource consumption becomes excessive.Monitor system performance regularly: Implement robust monitoring of key performance indicators (KPIs) such as CPU utilization, memory usage, network traffic, and response times in your production environment. » Don't get caught out: Make sure you're implementing these web application security best practices 5. Insecure Direct Object References (IDOR) This happens when a package allows access to internal resources (like files or database records) based on easily guessable identifiers, enabling unauthorized access. IDOR typically manifests when users can manipulate URLs or API endpoints (e.g., changing a user ID in a URL) to access unauthorized resources, like other users' profiles or data. » Learn more about API security Key Risks of Insecure Direct Object References Unauthorized data exposure: Attackers can manipulate object identifiers to gain access to data belonging to other users or entities that they are not authorized to view, including personal information, financial records, private documents, and any other sensitive data managed by the application.Privacy violations: The unauthorized access to personal data resulting from IDOR vulnerabilities directly leads to privacy violations, which can have severe legal and reputational consequences.Privilege escalation: IDOR vulnerabilities can be exploited to escalate user privileges. For example, an attacker might be able to modify the ID of a resource they control to that of an administrative resource, allowing them to modify user roles or access administrative functionalities.Data modification: Beyond simply viewing data, IDOR vulnerabilities can sometimes allow attackers to modify or delete resources belonging to other users. This could involve altering account settings, making unauthorized transactions, or deleting critical data. Prevention Strategies for Insecure Direct Object References Implement robust access control mechanisms: Always implement server-side checks to verify that the currently authenticated user has the necessary permissions to access or modify the requested resource. A well-defined mandatory access control model that maps user roles or attributes to specific permissions on resources is crucial.Implement indirect object references: Instead of directly using database IDs or other internal identifiers in URLs or request parameters, consider using non-guessable handles or GUIDs (Globally Unique Identifiers) to refer to objects. This makes it much more difficult for attackers to predict or manipulate them.Avoid exposing sensitive data directly in URLs: Use internal, non-public identifiers within your application's backend. When referencing objects in URLs or APIs, use opaque or hashed identifiers that do not directly reveal sensitive information or the underlying data structure, such as user IDs.Use automated security testing tools: SAST and DAST tools can be used to spot IDOR vulnerabilities, as well as thorough code reviews and penetration testing. » See our list of top application security tools and open source application security tools Fortify Your npm Foundations for a Secure Ecosystem Navigating the vast landscape of npm offers incredible power and efficiency, but also presents a unique set of security challenges. From the insidious threat of code injection to the silent dangers lurking in vulnerable dependencies, the potential risks are real and can have significant consequences. By understanding these common npm vulnerabilities and proactively implementing robust prevention strategies, you empower yourself to build more resilient and trustworthy applications. By integrating security tools like Jit's AI Agents, you can make security a continuous and integral part of your process to protect your users and your data. » Ready to begin? Book a Jit demo

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Top 10 Python Code Analysis Tools in 2025 to Improve Code Quality

As software systems grow in complexity, so does the challenge of maintaining high code quality. In the dynamic world of Python development, writing functional code is just the first step. Ensuring that your code is also clean, maintainable, secure, and performant is paramount for long-term project success and developer sanity. This is where code analysis tools become indispensable. This post dives into the top 10 Python code analysis tools of 2025 that every serious Python developer and team should consider leveraging to elevate their code quality. » Using serverless applications in Python? Here's how to design secure tenant isolation in Python Top 10 Python Code Analysis Tools at a Glance Best overall Python analysis tool: JitBest Python analysis tool for adherence to code standards: PylintBest Python analysis tool for SMBs: Flake8Best Python analysis tool for transitioning to type annotations: MyPyBest Python analysis tool for applications handling sensitive data: BanditBest Python analysis tool for prioritizing code consistency: BlackBest Python analysis tool for large-scale projects with type annotations: PyrightBest Python analysis tool for refactoring and cleanup: VultureBest Python analysis tool for scanning custom, policy driven code: SemgrepBest Python analysis tool for enterprise-scale applications: SonarQube Most Frequent Coding & Development Challenges in Python Dynamic typing and lack of type safety: Python’s dynamic typing increases flexibility but also raises the risk of runtime errors due to incorrect data types. This lack of type safety can lead to hard-to-detect bugs, especially in large codebases or during refactoring. Static analysis tools help catch type inconsistencies early, improving code reliability and making long-term maintenance more predictable.Inconsistent code style and formatting: Without strict enforcement, developers often introduce inconsistent naming conventions, indentation, and formatting. This leads to readability issues and slows down collaboration, especially in teams. Linters or formatters automate code style enforcement, enhancing readability and ensuring uniform code quality across the entire project.Unused or dead code: As projects evolve, unused functions, imports, or variables often accumulate. This dead code increases complexity, bloats the codebase, and makes debugging more difficult. Dynamic code analysis tools can detect and suggest removal of these unused elements, helping keep the code clean and maintainable.Security vulnerabilities: Python packages often include third-party dependencies, which may have known security flaws. Developers may also write insecure code, such as using eval() or hardcoding credentials.Poor error handling: Python’s exception-based error handling is powerful, but developers often catch generic exceptions or fail to handle edge cases, leading to hidden bugs. Static analysis can identify overly broad except blocks and unhandled exceptions, prompting more robust and specific error management strategies.Circular imports and complex dependencies: As Python projects grow, tangled import structures can introduce circular dependencies and brittle module relationships, leading to difficult debugging and performance overhead. Dependency analysis tools can help visualize and untangle these relationships, ensuring that the architecture remains modular and testable. » Make sure you understand these core concepts of DevSecOps Static vs. Dynamic Analysis in Python Static analysis involves reviewing code for errors or vulnerabilities like syntax errors, dead code, and type inconsistencies without executing any programs. It's like reading a book to find errors before ever performing the actions described within it.Dynamic analysis involves analyzing code while it is executing to find runtime errors, performance bottlenecks, security vulnerabilities, etc. It's like performing the book's actions to see what actually happens. Teams must account for tightly coupled code, deep module dependencies, and potentially outdated legacy code. Tools may struggle with scale, so performance tuning, incremental scanning, and suppressing non-critical warnings become essential. In contrast, modular microservices benefit from isolated, smaller codebases, allowing faster, more targeted scans. However, consistency across services is critical—teams should enforce shared linting rules, security policies, and CI integration. » Confused? Learn more about SAST vs. DAST Top 10 Python Code Analysis Tools in 2025 to Improve Code Quality 3 Tips for Combining Python Analysis Tools to Reach Maximum Security 1. Assign Tools Clear Roles Don’t throw every tool at every problem. Use linters like Flake8 for formatting and style, security scanners like Bandit or Jit for risk detection, and deeper analyzers like SonarQube for maintainability and code smells. This way, each tool covers a specific angle, so you're not getting five alerts about the same typo. 2. Filter and Prioritize Results Early Set up your tools to catch only what matters most—especially in CI/CD pipelines. Use severity filters, custom rule sets, or project-specific configurations to quiet the noise. Alert fatigue usually comes from unfiltered verbosity, not tool count. Make sure what shows up in PRs is meaningful and fix-worthy. » Learn more about CI/CD security 3. Use an Aggregator or Dashboard When possible, plug all your tools into a single reporting system (like GitHub or Jit). Seeing everything in one place helps spot overlap, prioritize faster, and keeps devs from jumping between tools. Plus, it’s easier to track progress and trends that way. Beyond the Bugs: Elevating Your Python Standards With Jit Improving code quality isn't just a best practice—it's a fundamental necessity for sustainable and secure software development in Python. From Pylint's comprehensive checks to Black's uncompromising formatting, MyPy's rigorous type safety, and Bandit's vigilant security scans, each of these tools offers a unique lens through which to examine and enhance your codebase. Trying to leverage the benefits of all these tools can be challenging, but it doesn't have to be. Jit acts as a security orchestration layer, unifying tools and their outputs while providing a consolidated view of security and quality issues directly within your development workflow. This holistic approach ensures that developers receive targeted, prioritized feedback without needing to navigate a fragmented landscape of individual tool reports. » Ready to get started? Book a demo with Jit

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Risk Management in Software Security: Principles, Context, and Practical Prioritization

Security teams implement a wide variety of code scanners to manage software security risk, but these scanners generate thousands of findings, making it unrealistic to patch every potential vulnerability. This is where risk management steps in. This article discusses the fundamental principles of identifying, assessing, and treating security risks within the software development lifecycle. We'll explore the crucial context that shapes these risks and, most importantly, provide practical guidance on how to prioritize your security efforts for maximum impact. » Skip to the solution: Learn how Jit's AI Agents can mitigate software security risk more efficiently What Is Risk Management in Modern Software Security? Software security and risk management is the process of evaluating potential security risks to applications, data, and infrastructure in alignment with business priorities, compliance requirements, and the specific architecture of applications. This involves identifying, assessing, and mitigating vulnerabilities and understanding the evolving landscape of cyberattacks to make informed decisions about risk mitigation. Key features to consider include: Software Risk FactorsRequired ControlsRisk Management ProcessDependency RiskSoftware Composition Analysis (SCA)Inventory and continuous monitoring of dependenciesAPI RiskAPI security testing, rate limiting, & authenticationSecure API design and implementation & ongoing testingHardcoded SecretsSecrets detection tools & secure secret managementAutomated scanning, secure storage and access controlsRuntime VulnerabilitiesDynamic application security testing (DAST) & web application firewalls (WAF)Continuous monitoring & runtime protection mechanismsInfrastructure as Code (IaC)IaC security scanningSecure configuration management & version control Factors That Contribute to Growing AppSec Vulnerabilities In the modern world, development teams focus on speed (CI/CD), which often means neglecting security in favor of using cloud-native architectures and API-driven ecosystems that increase the attack surface. This can result in unpatched flaws and misconfigurations stemming from: Releasing software too fast before it is adequately tested and verified.Relying on third-parties for software without sufficient vetting.Rapidly evolving ways attackers are getting into systems, exacerbated by the efficiency of artificial intelligence (AI).Not integrating security into the development processes.Forgoing a step-by-step plan, potentially resulting in overwhelming notifications, slower remediation efforts, and increased risk of exposure. » Learn more about API security These factors show that a new kind of risk management is needed that focuses on threats based on how easy they are to exploit and their impact, integrating security early (shift-left), automating scanning for vulnerabilities, and enforcing secure coding standards. » Think beyond shift-left security: How to rethink AppSec strategies in the age of AI 5 Core Principles of Risk Management Applied to AppSec 1. Risk Identification This is the initial stage where you actively seek out and identify potential security risks that could impact your applications, the data they handle, and the systems they interact with. To spot risks, you should look at how easy it is to take advantage of a vulnerability, how much of a threat it poses, and how relevant it is to the system through threat modeling, classifying assets, and analyzing attack surfaces. In AppSec, this involves identifying: Vulnerabilities: Weaknesses in the application's design, implementation, or configuration (SQL injection, cross-site scripting, insecure authentication, etc.).Threats: Potential actors or events that could exploit these vulnerabilities (malicious hackers, insider threats, automated botnets, etc.).Assets: The valuable components that need protection (user data, sensitive business logic, API endpoints, infrastructure, etc.).Impacts: The potential negative consequences if a threat exploits a vulnerability against an asset (data breach, financial loss, reputational damage, service disruption, etc.). Key risk identification tools include: SAST: Static application security testing can identify insecure code patterns early on, but it should be set up to only highlight issues that could be exploited.SCA: Software composition analysis scans third parties, but it must consider if they can be exploited and if patches are available.DAST: Dynamic application security testing evaluates applications and prioritizes findings based on how an attack could occur in the real world instead of just theoretical weaknesses. » Learn more: SAST vs. DAST and our AppSec guide to SCA 2. Risk Assessment Once risks are identified, this stage involves analyzing and evaluating them to understand their potential severity and likelihood of occurrence. The goal is to determine the level of risk associated with each identified threat-vulnerability-asset-impact combination. True risk assessment balances vulnerability severity and its impact on the real world, requiring an in-depth understanding of the application architecture. It involves evaluating security findings based on how easily they could be exploited, the importance of the assets involved, and the potential damage. In AppSec, this assesses: Likelihood: How probable is it that the identified threat will exploit the vulnerability? Factors include the attacker's capability, the accessibility of the vulnerability within the context of the application's design, and the prevalence of attacks targeting similar weaknesses.Impact: What would be the business, operational, or legal consequences if the vulnerability were successfully exploited? This considers the confidentiality, integrity, and availability of affected assets given their role and interconnectedness within the application architecture. 3. Risk Prioritization With a clear understanding of the assessed risks, this stage involves ranking them based on their significance, allowing you to focus your limited resources (time, budget, personnel) on addressing the most critical risks first. Risk prioritization often involves assigning qualitative (high, medium, low) or quantitative (a numerical score based on likelihood and impact) values to each risk. Frameworks like CVSS (Common Vulnerability Scoring System) can help standardize the assessment of vulnerability severity. Engineers should prioritize vulnerabilities based on ease to exploit, impact, and business context. Key factors include: Active exploits: Was the exploit discovered and assigned a CVE (Common Vulnerabilities and Exposures) score? A vulnerability with an active exploit and a CVE should typically be considered a high or critical priority for remediation. The window of opportunity for attackers is open, and the potential for immediate damage is significant.Ease of exploitation: This factor assesses how difficult it is for an attacker to successfully exploit the vulnerability. Do they require advanced skills, authentication, or user interaction? Vulnerabilities that are easy to exploit require less skill and fewer resources from attackers, making them more likely to be targeted by a wider range of threat actors—including less sophisticated ones.Data sensitivity: This factor evaluates the type and sensitivity of the data that could be compromised if the vulnerability is successfully exploited. Could exploitation expose PII (personally identifiable information), financial data, or intellectual property?System criticality: This factor assesses the importance of the affected system or application to the organization's core business operations. The potential for operational disruption and business-wide impact necessitates immediate remediation to ensure business continuity and minimize downtime.Internet-facing: Is the vulnerable component or application directly accessible from the public internet? Internet-facing vulnerabilities significantly increase the attack surface and the likelihood of exploitation, often requiring a higher priority for remediation.Compensating controls: Are there existing security controls in place that could prevent or significantly hinder the exploitation of the vulnerability? For example, a properly configured Web Application Firewall (WAF) might mitigate the risk of certain web-based vulnerabilities. The presence of effective compensating controls can influence the immediate priority of remediation. Rather than relying solely on CVSS scores, teams should incorporate threat intelligence, runtime insights, and compensating controls to prioritize real-world risks over theoretical vulnerabilities. 4. Risk Treatment This stage involves deciding on and implementing actions to manage the identified and prioritized risks. The goal is to reduce the likelihood and/or impact of the risks to an acceptable level. In AppSec, key factors and risk treatment options include: Remediation: Eliminating the risk altogether by removing a vulnerable feature or choosing a different technology.Mitigation: When immediate remediation isn't possible, compensating controls (WAF rules, monitoring, etc.) can reduce the risk. Additionally, implement security controls to reduce the likelihood or impact of the risk, such as patching vulnerabilities, implementing strong authentication, encrypting sensitive data, and improving input validation.Transference: This involves shifting the responsibility or financial burden of the risk, such as purchasing third-party cyber insurance.Acceptance: When the risk is low impact or low probability and the cost of remediation outweighs the potential damage, it might be more beneficial to accept the potential risk and choose to focus your efforts elsewhere. » Need help? Here's our complete guide to application security 5. Risk Monitoring and Review Risk management is not a one-time activity. This ongoing stage involves continuously monitoring the identified risks, the effectiveness of implemented controls, and the emergence of new risks. Teams must continuously track vulnerabilities, detect threats, and verify security controls. This includes automated scans (SAST/DAST/SCA), run-time protection (RASP/EDR), and regular audits (penetration tests/compliance checks). Maintaining a risk log and regularly reviewing security helps teams stay ahead of threats. » Feeling stuck? Start with these considerations for building an application security program Contextual, Regulatory, and Automation-Based Prioritization A robust risk management strategy in software security requires a multi-faceted approach to prioritization. By incorporating contextual understanding, regulatory obligations, and the power of automation, organizations can focus their efforts on the specific risks that matter to their business: 1. Contextual Prioritization Contextual prioritization involves evaluating security risks not just based on their technical severity (like CVSS scores) but also by considering the specific environment, business impact, and operational realities of the application and the organization. Understanding the context of risks is essential as a high-severity vulnerability in an isolated, non-production system with no sensitive data might pose a lower actual risk than a medium-severity vulnerability in a public-facing application handling critical customer data. By considering real-world exposure, teams avoid wasting time on low-risk issues and focus on the threats that really matter—runtime context helps teams focus on the most pressing and exploitable risks. In general: Risk ContextHow It Affects TriageActively exploitedUrgent remediation requiredInternet-facing/productionHigh priority due to exposureBehind authentication or internalLower risk but still monitored » See our guide to automating vulnerability triage 2. Regulatory Prioritization Regulatory prioritization involves ranking security risks based on the legal and compliance obligations that apply to your organization and the specific application. A low-severity vulnerability exposing protected health data may have greater consequences than a high-severity bug in an internal system. Fines, legal action, and reputational damage often outweigh technical impact. Key regulations to consider include: HIPAA (Health Insurance Portability and Accountability Act): This US law mandates strict security and privacy rules for protecting individuals' information.PCI DSS (Payment Card Industry Data Security Standard): This global standard requires organizations that handle credit card information to implement stringent security controls to prevent fraud.GDPR (General Data Protection Regulation): This EU regulation sets comprehensive rules for the collection, processing, and storage of personal data of individuals within the European Union, granting them significant rights.SOX (Sarbanes-Oxley Act): Primarily for publicly traded companies in the US, SOX includes requirements for data security and financial record-keeping to prevent fraud.CCPA/CPRA (California Consumer Privacy Act/California Privacy Rights Act): These US state laws grant California residents various rights over their personal information held by businesses. 3. Automation-Based Prioritization Automation-based prioritization leverages application security tools and technologies to automatically collect, analyze, and rank security risks based on predefined criteria and real-time data. As the number of applications and vulnerabilities grows, manual prioritization becomes inefficient and error-prone. Automation allows you to handle a larger volume of data effectively. Automated tools can quickly analyze vast amounts of information, identify high-risk vulnerabilities, and prioritize them for remediation much faster than manual processes. Examples of automation in prioritization include: Vulnerability scanners: Automatically identify vulnerabilities and often provide a severity score.Threat intelligence platforms: Integrate information about active exploits and threat actors to elevate the priority of certain vulnerabilities.Security information and event management (SIEM) systems: Correlate security events and vulnerability data to identify high-risk incidents.Application security orchestration and correlation (ASOC) tools: Integrate findings from various security testing tools and apply contextual and business logic for prioritization.Risk management platforms: Automate the risk assessment and prioritization process based on defined rules and data inputs. Automate Risk Management in AppSec With Jit Understanding the principles, context, and practicalities of risk prioritization is foundational to effective software security, especially in a world of rapidly-evolving cyber threats. However, implementing these concepts efficiently and at scale often requires dedicated tools. For organizations seeking a solution to streamline their AppSec risk management, including intelligent prioritization and actionable insights, look no further than Jit. Jit streamlines risk management by integrating contextual, policy-driven prioritization directly into CI/CD pipelines. Unlike traditional tools that inundate teams with raw vulnerability data, Jit correlates findings with real-world factors such as runtime exposure, compliance requirements, and business-critical assets. » Ready to begin? Get started with Jit