AI security engineers
For engineers securing AI-assisted and agent-written code. Agents copy patterns, drop guards to make tests pass, and widen scopes to make deploys green. Aevral looks for security flaws on those pull requests.
AI security engineers watch a new failure shape: code that is fluent, plausible, and quietly wrong about access. Agents copy the pattern next to the one you asked for. They remove the check that made the test fail. They request the scope that makes the deploy green. Each change is small, reads fine, and redefines who has access to what.
The access rules are exactly where agent-written code fails quietly, because a missing gate can survive the tests the agent is optimizing for, which assert behavior, not ownership, tenant, or role boundaries.
Aevral reads the repository snapshot for authorization, IDOR, and business-logic access control, and through its PR review, live on install, it reads pull requests for those plus injection, XSS, SSRF, path traversal, and LLM-integration flaws: up to five findings per review, grounded on the added lines, posted as an advisory Check plus inline comments. It never blocks a merge. That shape fits a pipeline where most authors are agents and the human review budget is the bottleneck.
The findings hand back into the same pipeline: each finding carries a fix prompt you can pass to Claude Code, Cursor, or Codex, and a human reviews before merge. The agent that wrote the access bug is a reasonable agent to fix it, once a human has seen the evidence.
The kind of change it reads
A generated route ships with no gate at all
Missing gate
A scope widens to make a deploy pass
Over-grant
A tenant check becomes a prefix match
Business logic
Today Aevral's pull-request reviews read access control, business logic, injection, XSS, SSRF, path traversal, and LLM-integration security; whole-repo scans read access control and business logic. Not memory corruption, not secret or dependency scanning, not a general SAST. A finding is a lead with evidence, and a human decides. PR review is live on install: installing the App starts reviews, and the owner can turn them off. Paid PR plans are live in the console.
Read next
The PR security review product; For AI agents; Aevral beside AI code reviewers.
Also for
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