[AI-native SAST platform]

ZeroPath and Aevral, at a glance

ZeroPath describes an AI-native SAST platform: business-logic and broken-auth detection, SCA, secrets, IaC, DAST, and pull-request reviews with one-click autofix, per ZeroPath's pricing page.

ZeroPath publishes AI-native SAST with business-logic and broken-authentication detection, plus SCA, secrets, IaC, dynamic testing, and pull-request reviews with one-click autofix, per ZeroPath's pricing page. Aevral is built for a reading of its own: does this diff widen who has access to what. Both read pull requests for security: ZeroPath with its reviews and autofix, and Aevral's PR review, live and opt-in, on the same pull request.

ZeroPath focuses on

Scanning code with AI-native SAST for business-logic and broken-authentication flaws.
Scanning dependencies, secrets, IaC, and dynamic behavior across the stack, per ZeroPath's pricing page.
Reviewing pull requests with one-click autofix and runtime validation for exploitable findings.

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 ZeroPath run its platform scanning and autofix; let Aevral add the authorization and business-logic reading of the same pull requests, with the opt-in add-on.

ZeroPath 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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