[AI code security reviews]

Tachyon and Aevral, at a glance

Tachyon reviews pull requests in full-codebase context, validates exploitability before reporting, and attaches a fix to each finding, per Tachyon's site.

Tachyon reviews each pull request against a map of the full repository and validates findings for exploitability before reporting, with a fix attached, and its published examples include broken access control and IDOR, per Tachyon's site. Aevral is built for a reading of its own: does this diff widen who has access to what. Both read pull requests for security: Tachyon with its validated reviews, and Aevral's PR review, live and opt-in, on the same pull request.

Tachyon focuses on

Reviewing pull requests in full-codebase context.
Validating findings for exploitability, with sandbox execution where possible, per Tachyon's site.
Posting findings as PR comments with a fix attached, plus Jira or Linear tickets.

Aevral adds alongside

The access reading of the pull request: dropped ownership checks, caller-controlled object references, gates that went from a role to a login.
With the opt-in add-on: up to two findings per review, grounded on the added lines, posted as a Check plus inline comments. It never blocks a merge.
A finding as a lead with evidence: the author decides with full information.

Run them together

Let Tachyon run its exploit-validated security reviews; let Aevral add the authorization and business-logic reading of the same pull requests, with the opt-in add-on.

Tachyon and Aevral, in depth; Aevral PR security review.

Also alongside

Scan your whole repo for access bugs.

One GitHub App. A report with evidence. A prompt for the agent you already use.

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