AISLE analyzes whole codebases for exploitable vulnerabilities and drives fixes; Aevral adds a reading focused on the authorization and business-logic questions: PR review, live on install, on the pull request, and a whole-repo scan at rest.
| Row | AISLE | Aevral |
|---|---|---|
| Question it answers | Which exploitable vulnerabilities does this codebase contain? | Who has access to what, and does this change widen it? |
| Stated job | AI-native vulnerability management: snapshot scans inside your perimeter, agent analysis, fix agents, and agentic verification, per AISLE'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 | Public cloud, private cloud, on-prem, or air-gapped deployment, on AISLE models or your own; pricing by quote | GitHub Check and inline comments, live on install; scans run from the console on a chosen SHA |
| Unit of work | Verified findings prioritized by business impact; fix proposals checked by agentic verification | Up to five findings per review, grounded on the added lines; scan findings come as leads with evidence |
| Complementary? | Yes | Yes |
AISLE describes AI-native vulnerability management: a Snapshot that scans inside your perimeter (public cloud, private cloud, on-prem, or air-gapped) with verified findings prioritized by business impact, and an Enterprise platform where thousands of agents analyze the codebase and fix agents generate patches that agentic verification checks before review, per AISLE's site. AISLE also credits itself with CVE discoveries in widely used open-source codebases. 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.
AISLE publishes business-logic errors and broken access control in its AI SAST scope, analyzes whole codebases for exploitable vulnerabilities, and its fix agents generate patches; Aevral reads access control and business logic at rest, and a wider security class list on the pull request, with findings as leads and no auto-applied fixes: a finding can carry a suggested diff you apply, plus a prompt you hand to the coding agent you already use. With Aevral's PR review, live on install, both run on the same pull request. The framing stays complementary: each tool does the job it publishes, and this page makes no claim about results on your pull requests.
AISLE
AISLE is an AI-native vulnerability management platform. Its Snapshot gives what AISLE describes as a clear picture of your code with verified findings prioritized by business impact, deployed in public cloud, private cloud, on-prem, or fully air-gapped, with model choices described per deployment (their Snapshot page: managed cloud with frontier models; air-gapped on AISLE's models). Its Enterprise platform analyzes with thousands of agents, generates patches with fix agents, and verifies each fix with CI and sandboxed tests, per AISLE's site. Pricing is by quote.
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 opens the member export to signed-in users because the UI only shows the button to admins. The export streams, the download counter ticks, and the tests that export seeded tenants still pass.
export async function GET(req: Request) { await requireTenantAdmin(session, req.query.tenantId) await assertSignedIn(session) return csv(await members.list(req.query.tenantId))The user is signed in, the export streams, and the counter is written. What changed is the check: the tenant-admin assertion became a bare signed-in assertion, so the member roster of any tenant id named in the query reaches any signed-in caller. That is the Broken Object Level Authorization shape (OWASP API1:2023): the object reference is caller-controlled and the server stopped binding it to the tenant. Aevral is built to read a diff for the binding that left, not the export that stayed.
Keep AISLE for vulnerability management in your perimeter; 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. AISLE 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: AISLE and Aevral on the works-alongside page.
Primary sources: AISLE; AISLE Snapshot; 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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