How do I audit AI-generated code?

Why ad-hoc AI audit is a nightmare

Auditing AI-generated code after the fact is a forensic exercise most teams cannot afford. Which lines came from which agent? Which prompt produced them? Were tests run before merge? Did a CVE scan pass? Without provenance captured at generation time, auditors chase git blame through a hundred PRs and still miss context. Audit has to be structural — built into the generation pipeline, not bolted on during a compliance fire drill.

Provenance captured at generation time

bRRAIn's Code Sandbox logs every generated file with the prompting agent, the source prompt, the model used, the timestamp, and the surrounding context. Each artefact becomes a node in the POPE graph linked to the repo, the PR, and the reviewer. The Consolidator keeps the provenance chain current as PRs merge. Auditors do not grep history — they query the graph. "Show every file authored by any agent in Q1 that touched billing" becomes one query, not a week of spelunking.

Test coverage and CVE scanning as gates

The sandbox runs every AI-authored diff against the project's test suite and a CVE scanner before the PR surfaces. Results are attached to the provenance node as verified metadata: tests passed, no CVEs, reviewer approved. The Security Policy Engine refuses merges that miss any gate. For auditors, this means the question "did this code pass its gates" is answered by reading a single node, not by reconstructing CI logs. The Security Controller certification formalises the human role that owns these gates.

Audit as a query, not an investigation

Compliance-ready audit reports become graph queries. Every AI-generated file carries its complete lineage; every merge gate carries its evidence; every override carries its documented justification. Regulators, internal audit, or a new CTO looking for surprises can pull a report in minutes. The Embedded SDK exposes the same provenance API to internal tooling, so you can build dashboards that show agent activity, success rates, and gate failures over time. Audit-readiness stops being a project and becomes a property of the platform.

Relevant bRRAIn products and services

• Code Sandbox — captures provenance and runs tests and CVE scans on every AI-authored diff.
• Security Policy Engine — enforces test and CVE gates as a non-negotiable merge requirement.
• POPE Graph RAG / Provenance Layer — stores full lineage of every AI-generated file for queryable audit.
• Security Controller certification — human role that owns the merge gates and audit policy.
• Consolidator — keeps provenance chains current as PRs merge.
• Embedded SDK — provenance API for internal tooling and audit dashboards.