Traditional product security tools detect

Jit investigates, validates, and acts

AI Agents trained for Application Security, Cloud Security, and Compliance.

Product security teams aren’t big enough to handle the workload.

Vulnerability triage, code reviews, and remediation can take hours as backlogs pile up.

Let Jit’s AI Agents handle the security busywork.

Our AI Agents automate the heavy-lifting for vulnerability triage, investigation, remediation, and reporting — helping product security teams keep pace without adding extra resources.

Product security teams aren’t big enough to handle the workload.

Vulnerability triage, code reviews, and remediation can take hours as backlogs pile up.

Let Jit’s AI Agents handle the security busywork.

Jit’s AI Agents automate the heavy-lifting for vulnerability triage, investigation, remediation & reporting, helping product security teams keep pace.

Flag CVEs With High-Impact Fixes
Before

Manually investigate every CVE to determine which ones reside in direct dependencies, which are easier to exploit and easier to patch.

After

Agent examines unstructured dependency data to identify CVEs with direct dependencies, and creates fix PRs to resolve issues.

Data sources
Codebase
SCA Scanner Findings
Package Metadata
Cloud Environment
Runtime Security Tool
Organizational Metadata

“By focusing on reachable CVEs with direct dependencies, we can make high-impact fixes with minimal effort.”

Director of AppSec at a Fintech
Application Vulnerability SLA Violations
Before

Manually updating Jira tickets, chasing owners, and reconciling SLA deadlines across multiple tools.

After

Agent automatically tracks vulnerability SLAs in Jira: real-time status, zero manual updates, full accountability.

Data sources
Issue tracking system
Security scanner findings
SLA Policies
Organizational Metadata

“Tracking vulnerability SLAs shouldn’t be a full-time job — now it’s fully automated, always accurate, and impossible to miss.”

Product Security Manager at a HealthTech company
Top Exploitable Product Security Risks
Before

Manually correlate individual scanner findings to map out exploitable attack paths created by toxic combinations.

After

Agent automatically chains together scanner findings and maps out attack paths to flag the top risks.

Data sources
Codebase
Security scanner findings
Runtime Security Tool
CI/CD Pipeline
Cloud Environment

“Instead of guessing how scanner findings combine, the Jit maps exploitable paths and prioritizes the fixes based on real exploitability.”

Staff Security Engineer at a HR Tech Company
System Weaknesses Analysis: Recurring Issues
Before

Manually digging and filtering through backlog issues to spot repeating security patterns.

After

Agent automatically identifies recurring vulnerability themes across the backlog revealing systemic weaknesses.

Data sources
Codebase
Security scanner findings
Organizational metadata
Cloud Environment
Issue tracking system

“We don’t just track vulnerabilities — we uncover the patterns that keep bringing them back.”

AppSec Leader at a Fintech
Crown Jewel Security Impact Assessment
Before

Crown jewel reviews run manually sporadically: fragmented data, outdated findings, and missed exposures.

After

Agent continuously assesses crown jewels: real-time visibility into risk, control coverage, and emerging vulnerabilities.

Data sources
Codebase
Security scanner findings
Organizational metadata
Cloud Environment
Issue tracking system

“Our most critical assets need more than periodic audits. They deserve continuous proof of security.”

DevSecOps Engineer at a Dev Tools Startup
SOC2 Report for Product Security Risks
Before

Crown jewel reviews run manually sporadically: fragmented data, outdated findings, and missed exposures.

After

Agent continuously assesses crown jewels: real-time visibility into risk, control coverage, and emerging vulnerabilities.

Data sources
GRC System
Security scanner findings
SOC 2 Requirements
Cloud Environment
Issue tracking system
DSPM
Log Data

“The SOC 2 dashboard finally connects compliance to reality — live control data, zero spreadsheets, and continuous audit readiness.”

GRC Manager at a HealthTech Startup
Security Monitoring per Development Team
Before

Crown jewel reviews run manually sporadically: fragmented data, outdated findings, and missed exposures.

After

Agent continuously assesses crown jewels: real-time visibility into risk, control coverage, and emerging vulnerabilities.

Data sources
GRC System
Security scanner findings
Organizational metadata
Cloud Environment

“Security ownership finally feels tangible. Every team can see their risk, fix it fast, and prove real progress.”

VP of Engineering at an Insurance Company
Create Your Own Custom Agent
Before

Product security teams spent hours chasing vulnerabilities in noisy backlogs: manually correlating data across scanners, tickets, and environmental components to keep up with new risks.

After

Custom agents handle the grunt work: automatically tracking, prioritizing, and acting on new vulnerabilities as fast as they appear.

Data sources
Security scanner findings
Codebase
Organizational metadata
Cloud Environment
Issue tracking system
DSPM
Log data
GRC System
Runtime security tools
Cloud configs
CMDB tools
Compliance frameworks
The internet
Package metadata
Package metadata

“We were drowning in new vulnerabilities faster than we could triage them. Now our agents do the work for us, so we can focus on real risk.”

Director of Product Security at A Gaming Company
Before

Manually update Jira tickets, chase owners, and reconcile SLA deadlines across multiple tools.

After

Agent examines unstructured dependency data to identify CVEs with direct dependencies, and creates fix PRs to resolve issues.

Data sources
Codebase
SCA Scanner Findings
Package Metadata
Cloud Environment
Runtime Security Tool
Organizational Metadata
Before

Manually updating Jira tickets, chasing owners, and reconciling SLA deadlines across multiple tools.

After

Agent automatically tracks vulnerability SLAs in Jira: real-time status, zero manual updates, full accountability.

Data sources
Issue tracking system
Security scanner findings
SLA Policies
Organizational Metadata
Before

Manually correlate individual scanner findings to map out exploitable attack paths created by toxic combinations.

After

Agent automatically chains together scanner findings and maps out attack paths to flag the top risks.

Data sources
Codebase
Security scanner findings
Runtime Security Tool
CI/CD Pipeline
Cloud Environment
Before

Manually dig and filter through backlog issues to spot repeating security patterns.

After

Agent automatically identifies recurring vulnerability themes across the backlog revealing systemic weaknesses.

Data sources
Codebase
Security scanner findings
Organizational metadata
Cloud Environment
Issue tracking system
Before

Manually filter the backlog across multiple tools to associated security findings with crown jewels.

After

Agent continuously assesses crown jewels: real-time visibility into risk, control coverage, and emerging vulnerabilities.

Data sources
Codebase
Security scanner findings
Organizational metadata
Cloud Environment
Issue tracking system
Before

Compliance teams manually review configurations, policies, and evidence against SOC 2 criteria.

After

The agent scans the environment for control coverage and compares findings against SOC 2 requirements.

Data sources
GRC System
Security scanner findings
SOC 2 Requirements
Cloud Environment
Issue tracking system
DSPM
Log Data
Before

Security teams manually map vulnerabilities to repositories and track which team owns each issue.

After

The agent reviews affected repositories and cross-references data from the source code manager (or other data sources) to identify ownership.

Data sources
GRC System
Security scanner findings
Organizational metadata
Cloud Environment
Before

Product security teams spent hours chasing vulnerabilities in noisy backlogs: manually correlating data across scanners, tickets, and environmental components to keep up with new risks.

After

Custom agents handle the grunt work: automatically tracking, prioritizing, and acting on new vulnerabilities as fast as they appear.

Data sources
Security scanner findings
Codebase
Organizational metadata
Cloud Environment
Issue tracking system
DSPM
Log data
GRC System
Runtime security tools
Cloud configs
CMDB tools
Compliance frameworks
The internet
Package metadata
Package metadata

“By focusing on reachable CVEs with direct dependencies, we can make high-impact fixes with minimal effort.”

Director of AppSec at a Fintech

“Tracking vulnerability SLAs shouldn’t be a full-time job — now it’s fully automated, always accurate, and impossible to miss.”

Product Security Manager at a HealthTech company

“Instead of guessing how scanner findings combine, the Jit maps exploitable paths and prioritizes the fixes based on real exploitability.”

Staff Security Engineer at a HR Tech Company

“We don’t just track vulnerabilities — we uncover the patterns that keep bringing them back.”

AppSec Leader at a Fintech

“Our most critical assets need more than periodic audits. They deserve continuous proof of security.”

DevSecOps Engineer at a Dev Tools Startup

“The SOC 2 dashboard finally connects compliance to reality — live control data, zero spreadsheets, and continuous audit readiness.”

GRC Manager at a HealthTech Startup

“Security ownership finally feels tangible. Every team can see their risk, fix it fast, and prove real progress.”

VP of Engineering at an Insurance Company

“We were drowning in new vulnerabilities faster than we could triage them. Now our agents do the work for us, so we can focus on real risk.”

Director of Product Security at A Gaming Company

Featured Agents

How do you know Jit’s Custom AI Agents produce
accurate and relevant results?

Jit’s Custom AI Agents query your Company Knowledge Graph, which is automatically generated based on the information gathered from Jit’s integrations. They only return insights grounded in this graph, ensuring findings are accurate, contextual, and aligned with your environment, policies, and priorities.

See all integrations
Engineering Layer

Code-to-cloud-to-runtime integrations

Security Layer

30+ security scanners integrations

Business Layer

Internal policies + compliance reqs

Company Knowledge Graph
We get it...everyone says they have AI Agents.

Here’s what our agents actually do.

easily Stay on top of risks that matter most to you.

Create Custom Agents that continuously monitor, enrich, and create fixes for the specific security risks that impact your business.

Learn More

Automatically flag
exploitable vulnerabilities

Jit’s AI Agents correlate scanner findings with each other and their environment to build attack paths - proving exploitability and surfacing toxic combinations.

Learn More

The first auto remediation you’ll trust

Jit’s AI Agents build remediation plans and verify the root cause of the issue before generating fix PRs to ensure accuracy. Stay in the loop to course correct the remediation process if needed.

Learn More

Give your engineers a
security sidekick.

Developers don’t need another tool. Jit scans and reviews every code change in their environment, explains risks in plain English, and suggests secure fixes to ship safely and quickly.

Learn More

Stay audit-ready.
Always.

Jit continuously maps your environment to compliance frameworks, gathers proof, and builds audit-ready reports automatically that can integrate with your GRC platform.

Learn More

Jit gets lot of LOVE

See all customer reviews
“With Jit’s AI Agents we are able to delegate a lot of the tedious work of performing constant risk assessment, and it’s shockingly good at surfacing what needs to be dealt with.”
Dudu Yosef
Dudu Yosef
Director of Security at LinearB
“Jit’s Sera agent helps me weed out false positives, while focusing my attention on exploitable toxic combinations.”
Abhishek N.
“With Jit’s Deva agent, my developers consistently and independently secure their code.”
Raul P.
“Developers love Deva. It explains vulnerabilities in plain English, right inside their IDE so they don’t need to learn any new tools.”
Chris M.
“Our AppSec team focuses on strategy again and enabling developers. Not triage, not reporting, or other menial tasks.”
Elad S.
“Exploitability validation used to take days. Now, it’s automated in minutes.”
Max G.
“It feels like I have a small team of security engineers who are doing the work for me automatically.”
Joshua F.
“Jit’s AI Agents turned our backlog chaos into clear, validated risks we can actually act on.”
Christina K.
“We cut AppSec investigation time in half. Our team reviews real attack paths, not scanner noise.”
Rotem R.
“Sera finds what every other tool misses, like the toxic combinations that form real attack paths.”
Jamey L.
“Our AppSec reports now write themselves. Jit’s custom agents track exactly what matters.”
Alex D.
“With Jit, PRs flow faster. No more blocked builds for unclear security issues when developers can resolve issues themselves in the PR.”
Lauren R.
“We no longer need to pull data or chase false positives. The agents do it for us.”
Paula W.
The #1 rated Product 
Security Platform
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Everyone’s slapping an AI Label on old tech.

Jit’s Agents are different.

They aren’t chatbots.
They execute.

Our agents handle and execute product security tasks the same way 
engineers would.

They understand your business without spoon feeding.

Jit agents tailor their analysis to your unstructured policies, compliance requirements, and system architecture.

They cover the full vulnerability management lifecycle.

Scanning, triage, remediation, code reviews, threat models, compliance analysis, and more.

FAQs

What is included in the Jit platform?

Jit is an Agentic Product Security Platform designed to automate and accelerate every aspect of product security. It includes:

  • Full-stack security scanning across code, cloud, and CI/CD pipelines.
  • A centralized vulnerability backlog to unify findings across scanners.
  • A powerful suite of AI Agents that:
    • Triage and prioritize vulnerabilities based on runtime and business context.
    • Provide contextual, real-time feedback to developers on code changes.
    • Create, assign, and follow up on security tickets.
    • Automate compliance gap analyses and documentation.
    • Continuously update threat models and risk assessments.

The result is streamlined security management, reduced manual workload, and improved collaboration between AppSec and engineering.

Why does Jit use AI Agents to solve product security problems?

Modern AppSec tasks involve synthesizing huge volumes of data—from vulnerability scanners, system architectures, compliance standards, and runtime environments. These tasks require deep analysis to determine which issues pose actual risk and how best to remediate them.

Jit's AI Agents are built to handle this scale and complexity. They work around the clock to:

  • Analyze and correlate context across systems.
  • Make precise recommendations based on your tech stack and priorities.
  • Reduce the workload on AppSec teams, enabling them to do more with fewer resources.

This transforms AppSec from reactive and manual to proactive and automated.

How do I know Jit's AI Agents won't produce irrelevant outputs?

Jit's AI Agents operate with full contextual awareness, thanks to its proprietary Company Knowledge Graph, which integrates data from your:

  • Security policies
  • Compliance frameworks (like SOC 2, PCI-DSS, OWASP)
  • Existing tools (e.g., Semgrep, Orca, Cyera, etc.)
  • System and cloud architecture
  • Runtime environment

This contextual synthesis ensures that every recommendation or action from Jit's agents is grounded in the realities of your business and tech stack—not just raw scan data. Human oversight, agent explainability, and guardrails ensure transparency and control over agent outputs.

How do developers use Jit to secure their code?

Jit offers an exceptionally smooth developer experience with direct integrations into popular development environments and tools like:

  • IDEs: VS Code, IntelliJ, Cursor
  • Source Control: GitHub, GitLab, Bitbucket, Azure DevOps

Developers receive automated, contextual feedback on the security of every code change—without leaving their environment. Jit highlights real risks, provides clear explanations, and offers auto-remediation with a single click.

This means developers can resolve issues as they code, preventing vulnerabilities from ever reaching production—and without the friction or delays of traditional security tools.

What is the onboarding process for Jit?

Getting started with Jit is fast and easy:

  • Integrate with your SCM (GitHub, GitLab, Bitbucket, Azure DevOps) to enable automated code scanning.
  • Integrate with your cloud (AWS, GCP, etc.) to activate Cloud Security Posture Management (CSPM).
  • Enable Jit's AI Agents to begin automated triage, ticketing, developer feedback, compliance mapping, and more.
  • Optionally, upload internal security policies and compliance requirements to give the AI Agents complete context.

For best results, we recommend a quick onboarding session with our team to help configure your context and goals. Most customers begin seeing value within minutes of integration.

How do I know my data is secure with Jit?

Jit implements a robust, enterprise-grade Information Security Program aligned with NIST, CIS Controls, and SOC 2 Trust Services Criteria. This includes:

  • Full coverage across data classification, access control, encryption, cloud/network security, vulnerability management, and incident response.
  • Role-based access, least privilege, continuous monitoring, and audit trails.
  • Strict compliance with regulatory frameworks and regular third-party audits.

Jit’s security policies are enforced across employees, systems, and third parties. Learn more here: Jit Information Security Policy

Ready to see Jit in action?

Watch Jit fix what others just flag.

Book a demo

What do developers think about security?

We surveyed 150 developers to better understand what they need to deliver more secure code.

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