Legit's remediation agents prioritize, fix, and validate SAST and SCA vulnerabilities autonomously – with full business context, parallel PR generation, and auditable results.
Scanners run in parallel, around the clock. Remediation runs at the speed of human attention, one finding at a time. The gap compounds and the highest-risk issues sit unaddressed, because they are often the hardest to fix.
AI coding agents now account for nearly half of all committed code – and AI-generated code contains 2.74× more vulnerabilities than human-written code. Your backlog isn't a staffing problem. It's a structural one.
Pointing tools like Cursor or GitHub Copilot at your vulnerability queue produces patches without context, not validated fixes. They don't know what's reachable, what's in production, or whether the root cause was addressed.
Legacy tools flood the queue with unranked findings. Legit's agents use reachability, exploitability, production status, and business context to ensure only confirmed risk reaches the remediation queue and that the right issues get fixed first.
A single vulnerable library can exist across dozens of services. Legit opens pull requests in parallel across every affected repo simultaneously to shore up gaps in your attack surface.
The agent re-scans after writing the fix, confirms the finding is closed, checks for regressions, and only then creates the PR with a plain-language explanation of what changed and why. Developers review a confirmed fix, not a guess.
Every fix lands as a PR for the developer to review and approve before it merges. You can talk to the agent directly on the PR – ask questions, push back, request changes – and every exchange sharpens its memory for the next fix.
Every step the agent takes – from original finding to model call to pull request to merge – is logged and available for audit. Full lineage, no black boxes.
