[AI-native vulnerability management]

AISLE and Aevral, at a glance

AISLE describes AI-native vulnerability management: snapshot scans inside your perimeter, agent analysis, fix agents, and agentic verification, per AISLE's site.

AISLE analyzes whole codebases with thousands of agents, generates patches with fix agents, and verifies fixes with CI and sandboxed tests, with business-logic errors and broken access control in its published AI SAST scope, per AISLE's site. Aevral is built for a reading of its own: does this diff widen who has access to what. Both read repositories for security: AISLE for vulnerability management, and Aevral's PR review, live and opt-in, for the access questions.

AISLE focuses on

Running AI-native vulnerability management inside your perimeter, including air-gapped deployments.
Analyzing codebases with parallel agents and verifying fixes with CI and sandboxed tests, per AISLE's site.
Generating patches with fix agents for review.

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 AISLE run vulnerability management in your perimeter; let Aevral add the authorization and business-logic reading of the same pull requests, with the opt-in add-on.

AISLE 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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