Review agents

20 specialists, one verdict per finding

Scanners are good at spotting patterns and bad at judging context. Each finding goes to an agent that knows its vulnerability class — and decides whether it's real, explains it, and suggests the fix.

SQLiAuthCryptoSecretsSSRFCloudReporthigh signal

Specialist agents share context, then produce one high-signal report.

Web & injection

Identity & access

Secrets & crypto

Infra & pipeline

Platform & AI

Beyond findings

Agent setup reviewer

Inventories the LLM-agent setup in your repo — agents, skills, memory, hooks, MCP servers, frameworks — and reviews it for prompt-injection, tool-safety and secrets risks.

Scope & why it matters →

General reviewer

Findings that match no specialist still get a verdict, explanation and fix from a general security reviewer — nothing is silently dropped.

Common questions

How does a finding get routed to an agent?

By the finding's CWE first, then by keywords in the scanner rule ID or file path. Findings that match no specialist go to a general reviewer, so nothing is dropped.

Do the agents find new vulnerabilities on their own?

No. They validate what Semgrep, Gitleaks and Trivy report: a verdict (real or likely false positive) with a confidence score, a plain-English explanation and a suggested fix.

What code do the agents see?

Only the minimal snippet around each finding, with secret values redacted. That keeps your source private but means a cross-file data flow can be misjudged — which is why every verdict carries a confidence score.

See the agents on your own code

100 free credits, no credit card. Connect a GitHub repo and run a scan.

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