A real EU AI Act audit checks your system against the Act's technical requirements, not just your paperwork. Doing that manually means code reviews, documentation hunts and a consultant's invoice. An automated audit scans the same surface — code, configuration, dependencies, APIs — in minutes and produces an evidence-based report you can hand to an auditor.
A useful audit verifies: how the system manages risk and logs decisions, whether training data has governance and provenance, whether technical documentation exists for each model, whether outputs are traceable and auditable, whether a human can override the system, and whether accuracy, robustness and cybersecurity measures are present in the code. Each check should resolve to evidence, not opinions.
Manual audits are thorough but slow, expensive and snapshot-based — they test one point in time. Automated audits are fast, repeatable and continuous, and can be re-run after every deploy. The best setup is an automated first pass that flags deviations, then a human auditor signs off on the evidence.
Your audit report should list each requirement, the evidence found (files, config, dependencies), the pass/fail verdict, and a prioritized remediation plan. That is exactly the format the scanner produces — a board-ready summary plus a deep technical annex.
See your score in 2 minutes. No signup, no code stored.
Scan Your Codebase NowNo. The scan does the technical evidence-gathering. A qualified professional signs off on legal conformity and, where needed, the formal conformity assessment.
The automated scan runs in about 2 minutes. Recurring plans keep the evidence current automatically.
A free scan gives you a first-pass audit report. Paid plans add full dashboards, remediation planning and recurring audits.