Two readings on one pull request: Tachyon's exploit-validated security review with a fix attached, and Aevral, through its PR review, live on install, adding its security 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 | Security reading of the PR diff (access control, business logic, injection, XSS, SSRF, path traversal, LLM integration), and an access-control and business-logic reading 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, live on install; scans run from the console on a chosen SHA |
| Unit of work | Exploit-validated findings with a suggested fix attached | Up to five findings per 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: its PR review, live on install, looks for access control, business logic, injection, XSS, SSRF, path traversal, unsafe deserialization, token and session flaws, and LLM-integration risks on the change, and its whole-repo scan reads who has access to what: authorization, IDOR, and business-logic access control. 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 on install, reading the pull request for security flaws. Aevral also reads the repository snapshot at rest as a whole-repo scan, and Aevral does not apply fixes: each finding is a lead with a fix prompt you hand to the coding agent you already use, and can carry a suggested diff you apply. 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
Security review, handled. PR review, live on install, looks for access control, business logic, SQL and command injection, XSS, SSRF, path traversal, unsafe deserialization, token and session flaws, and LLM-integration risks on the diff. Paid PR plans are live in the console. The whole-repo scan is live and self-serve, and reads authorization, IDOR, and business-logic access control only. A finding is a lead with evidence, and a human decides. No patches are auto-applied.
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 its security reading of the same pull requests and the access-control reading of the whole-repo snapshot, live on install.
No. Tachyon does its stated job and keeps doing it. Aevral runs alongside it with its own reading: its PR review, live on install, looks for access control, business logic, injection, XSS, SSRF, path traversal, and LLM-integration security on the pull requests it reviews, and its whole-repo scan reads access control and business logic across the repository at rest.
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.
Install the GitHub App and PR review starts on. Sign in with GitHub to connect it, then press Scan for the repository you already have.
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