Secure your apps faster and smarter with Jit’s AI Agents

Learn how to collaborate with Jit’s AI Agents to mitigate AppSec risk as fast as it appears.

Jit’s AI Agents offload tasks that could otherwise take hours or days

Here are examples of what they actually do

Never manually triage another alert.

Most teams lose hours diagnosing severity. Jit’s AI agents investigate alerts and highlight what’s critical, based on exploitability, business impact, and your company guidelines.

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Automatically create clear paths to remediation

AppSec engineers used to spend days chasing developers. Jit creates remediation plans, gets your approval, and provides everything developers need to understand why the security issue matters, and how to fix it.

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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.

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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.

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Dudu Yosef
“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
Director of Security at LinearB

A new way to work: Jit’s AI Agents operate within your stack using MCP

Model Context Protocol (MCP) enables seamless collaboration between AI Agents and your tooling
MCPs provide a standardized way for AI Agents to interact with everyday tools for developers and security teams, enabling users to operate within their existing toolset without leaving the Jit UI.
Automate any AppSec process across your stack without leaving Jit
Rather than bouncing across tools to complete AppSec tasks, simply direct Jit’s AI Agents to execute processes within your existing stack, like reconfiguring a Lambda in AWS or closing a ticket in Jira.
Make data-driven AppSec decisions in seconds
Rather than bouncing across tools to gather information and complete AppSec tasks, simply direct Jits AI Agents to pull data or execute tasks within your existing stack using Model Context Protocol.
See all integrations
Total finding diagram

All Agentic analysis and actions are rooted in the context of your business

Runtime context: determine the real risk of security issues
Integrate with your Source Code Manager, cloud environment, and existing security stack to determine the risk of all scanner-detected security issues in runtime.
Business context: determine business impact of security issues
Upload internal security policies to help Jit’s AI Agents understand how to operate within the context of your business and risk strategy.
Compliance context: determine compliance impact of security issues
Teams with the highest security scores for their services can be displayed on leaderboards and sent to Slack channels.

Jit’s agentic analysis and actions are based on the Company Knowledge Graph – the single-source-of-truth for Jit’s AI Agents to understand what matters to your business.

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Company Knowledge Graph

Runtime environment
Code-to-cloud mapping
Internal policies
Compliance requirements
SERA
Security Evaluation and Remediation Agent
RICA
Regulation Intelligence and Compliance Agent
COTA
Communication, Ops, and Ticketing Agent

AI explainability to monitor agentic analysis and actions

Document all tasks and review completed steps
All agentic tasks are recorded and monitored, making it easy to understand decision-making.
AppSec Teams stay in the loop to act on risks
Jit’s AI Agents never act autonomously, they require “Human-in-the-loop” validation before taking action.
Continuous learning and improvement
Jit’s AI Agents continuously learn from your AppSec Team’s input to deliver more refined an tailored outputs.
AI explainability to monitor agentic analysis and actions

What do developers think about security?

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

Read the Report