CodeRabbit reviews pull requests and, with CodeRabbit Security, runs scheduled repository scans and security scans of each pull request. 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 | CodeRabbit | Aevral |
|---|---|---|
| Question it answers | What does this change need in review, and what does the repository need in security monitoring? | Who has access to what, and does this change widen it? |
| Stated job | AI code reviews on pull requests, plus IDE and CLI reviews; CodeRabbit Security adds scheduled repository scans and security scans of each pull request, per CodeRabbit'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, Azure DevOps, and Bitbucket pull requests, plus the IDE and CLI, per CodeRabbit's docs | GitHub Check and inline comments, live on install; scans run from the console on a chosen SHA |
| Unit of work | The review comment and suggested fix; Security scans per schedule and per pull request | Up to five findings per review, grounded on the added lines; scan findings come as leads with evidence |
| Complementary? | Yes | Yes |
CodeRabbit reviews pull requests automatically: it posts findings and suggested fixes on the change, and it also reviews uncommitted work in the IDE and from the CLI, per CodeRabbit's docs. Its CodeRabbit Security product adds what CodeRabbit calls agentic code security monitoring: scheduled repository scans, security scans of each pull request, and verification of findings with reviewable fix pull requests, per CodeRabbit. 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: CodeRabbit Security runs its scans on each pull request, and Aevral's PR review is live on install, reading the pull request for security flaws. CodeRabbit publishes IDOR and business-logic in CodeRabbit Security's scope; Aevral reads access control and business logic at rest, and a wider security class list on the 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.
CodeRabbit
CodeRabbit is an AI code review tool. It reviews pull requests automatically, posts findings and suggested fixes on the change, and also reviews uncommitted work in the IDE and from the CLI. Its CodeRabbit Security product adds agentic code security monitoring: scheduled repository scans, security scans of each pull request, and verification of findings with reviewable fix pull requests, per CodeRabbit's site.
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 simplifies a document fetch by looking up on id alone, because the GraphQL layer already authenticated the caller. The resolver is valid, it returns the document, and every test that uses a matching org still passes.
export async function document(_p, { id }, ctx) { return db.documents.findFirst({ where: { id, orgId: ctx.orgId } }) return db.documents.findFirst({ where: { id } })}The caller still has to be signed in, and they still name a document id. What changed is the binding: the org on the session no longer has to match the org on the row, so any authenticated caller who can name another organization's document id can read it. 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 missing binding, not the query shape.
Keep CodeRabbit for AI reviews on pull requests, the IDE and CLI, and CodeRabbit Security monitoring; 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. CodeRabbit 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: CodeRabbit and Aevral on the works-alongside page.
See the wider field: CodeRabbit alternatives.
Primary sources: CodeRabbit pull request reviews; CodeRabbit quickstart; CodeRabbit Security; 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.
For professional use. By installing, you confirm you can act for the account or organization that owns it, and you accept the Terms and DPA on its behalf.