AI Software Audit

An AI software audit is an independent technical review of an application built partly or entirely with AI coding tools. Vibecop evaluates the codebase, architecture, security, database, infrastructure, integrations, reliability and production readiness, then has senior engineers verify and prioritize the findings.

What does an AI software audit check?

  • Architecture

    Service boundaries, coupling, and data ownership as they were actually built rather than as they were described.

  • Authentication

    Session handling, token lifetimes, password and OTP flows, and the reset paths that are usually generated last.

  • Authorization

    Whether every endpoint checks who is asking, and whether that check happens server-side.

  • Database security

    Row-level security, tenant isolation, migrations, indexes, and the queries that only work at current data volume.

  • API security

    Input validation, rate limiting, mass assignment, error verbosity, and CORS policy on every public surface.

  • Dependencies

    Known CVEs, abandoned packages, and the transitive tree that arrived with a generated scaffold.

  • Secrets

    Where keys live, what is committed, what reaches the client bundle, and whether anything can be rotated.

  • Infrastructure

    Hosting, networking, storage permissions, environment separation, and backup and restore that has been tested.

  • Observability

    Logging, error tracking, and alerting, judged by whether an outage would be noticed before a customer reported it.

  • Performance

    N+1 queries, synchronous work on the request path, payload sizes, and cold-start behaviour.

  • Scalability

    The load the current design carries, the point it stops carrying, and what changes first.

  • AI/LLM risks

    Prompt injection, unbounded tool permissions, provider key exposure, cost runaway, and unvalidated model output.

  • Testing

    Whether the critical paths have any coverage at all, and whether the existing suite would catch a regression.

  • Deployment

    Build reproducibility, migration safety, rollback, and what happens when a deploy fails halfway.

  • Maintainability

    Duplication, dead code, inconsistent patterns, and the parts of the codebase no human has read.

See how an audit runs

Build with
confidence.

AI builds the product. Vibecop makes sure it won’t break in production, fail under scale, or expose your users to risk. One audit. Fewer expensive surprises.