Two readings on one pull request: Tachyon's exploit-validated security review with a fix attached, and Aevral, through its live opt-in PR review, adding the authorization and business-logic reading.
| Row | Tachyon | Aevral |
|---|---|---|
| Question it answers | Is this change exploitable in context? | Who has access to what, and does this change widen it? |
| Stated job | AI code security reviews of pull requests in full-codebase context, with exploitability validation and a fix per finding, per Tachyon's site | Authorization, IDOR, and business-logic reading of the PR diff, and of the whole-repo snapshot at rest |
| Where it runs | GitHub, GitLab, or Bitbucket pull requests; findings as PR comments and Jira or Linear tickets | GitHub Check and inline comments, opt-in per organization; scans run from the console on a chosen SHA |
| Unit of work | Exploit-validated findings with a suggested fix attached | Up to two findings per opt-in review, grounded on the added lines; scan findings come as leads with evidence |
| Complementary? | Yes | Yes |
Tachyon reviews each pull request against a map of the full repository (data flow, auth patterns, service boundaries), checks findings for reachability, and validates them by sandbox execution where possible before reporting, with a fix attached to each finding, per Tachyon's site. Its published examples include broken access control and IDOR in the tenant-download shape. Aevral is built for a reading of its own: does a change widen who has access to what, an authorization, IDOR, or business-logic access-control issue. Good code and safe access are separate properties; a change can read well while moving the other.
Both products read pull requests for security: Tachyon with its exploit-validated reviews and attached fixes, and Aevral's PR review, live and opt-in, reading the pull request for the access questions. Aevral also reads the repository snapshot at rest as a whole-repo scan, and Aevral does not patch: each finding is a lead with a fix prompt you hand to the coding agent you already use. The framing stays complementary: each tool does the job it publishes, and this page makes no claim about results on your pull requests.
Tachyon
Tachyon is an AI code security reviewer. It reviews pull requests against a map of the full repository, validates that a finding is exploitable before reporting it (sandbox execution where possible), and attaches a fix to each finding, per Tachyon's site. It connects GitHub, GitLab, or Bitbucket, and posts findings as PR comments and Jira or Linear tickets.
Aevral
Aevral is a security researcher for your code, built to read authorization, IDOR, and business-logic access control with cross-file context. The whole-repo scan is live and self-serve; PR review is live and opt-in per organization; paid PR plans are live in the console. A finding is a lead with evidence, and a human decides.
This change lets the scheduler deliver weekly reports to a channel alias because the per-owner recipient list grew unwieldy. The job runs, the delivery lands, and the tests that send to seeded owners still pass.
export async function deliver(report: Report) { const to = await owners.of(report.tenantId) const to = alias(process.env.REPORTS_ALIAS) return send(to, report.body)The scheduler runs, the delivery lands, and the alias resolves. What changed is the binding: recipients came from the report's own owner set and now come from a single alias, so every report body reaches every address on that alias regardless of who could see the data. Aevral is built to read a diff for the binding that left, not the alias that replaced it.
Keep Tachyon for exploit-validated PR security reviews with attached fixes; run Aevral for the authorization and business-logic reading of the same pull requests and the whole-repo snapshot, opt-in per organization.
No. Tachyon does its stated job and keeps doing it. Aevral runs alongside it with its own reading: authorization, IDOR, and business-logic access control across the repository, and across every pull request through its opt-in PR review.
No. This page states each product's job and shows one worked example of Aevral's own reading. Results on your code depend on your code; evaluations belong to you.
Aevral is self-serve: install the GitHub App and log in to the console. The waitlist form is a launch-updates channel; joining does not reserve a price, access, or a contract.
More comparisons
The shorter version, at a glance: Tachyon and Aevral on the works-alongside page.
Primary sources: Tachyon; Tachyon research disclosures; Aevral PR security review; Aevral whole-repo scan.
One GitHub App. A report with evidence. A prompt for the agent you already use.