Disclaimer

Information only, not advice

AI Diagnostic Platform provides automated, general information to support technical and governance decisions about AI systems. Nothing on this site, including audit findings, risk classifications, cost estimates, evaluation scores and code examples, is legal, regulatory, compliance, security, financial or other professional advice. It doesn't create any advisor–client relationship. Before acting, get advice from qualified professionals who know your circumstances.

Official texts prevail

Findings summarize and link to official sources: the OWASP Top 10 for LLM Applications, the NIST AI Risk Management Framework (NIST AI 100-1) and Generative AI Profile (NIST AI 600-1), Regulation (EU) 2024/1689 (the EU AI Act) as published in the Official Journal and on EUR-Lex, ISO/IEC 42001 and ISO/IEC 23894 (paid standards: we name the clause and link to the official catalogue entry, not the text), and guidance from the European Commission and the European Data Protection Board. Our summaries are simplified and may be incomplete. If they differ from the official text, the official text prevails. The full list of sources is on the official references page.

Laws and standards change. Our references were last checked on 2026-09-29. EU AI Act application dates shown on this site reflect the amendments introduced by the Digital Omnibus on AI, as published in the European Commission's implementation timeline. Always check the current consolidated text on EUR-Lex.

Automated classification

The audit applies fixed rules to the answers you give. It can't consider facts you don't enter, such as the exceptions in Article 6(3) of the EU AI Act, sector-specific law or national law. A result such as “likely high risk” or “possibly prohibited” is a prompt for expert review, not a legal determination.

Estimates and evaluation scores

Cost estimates use third-party pricing data and simplifying assumptions. They aren't quotes; confirm prices with your provider. Evaluation scores are approximations described on the Analyze page and aren't a certified assessment of model quality or safety.

Code examples

Code snippets are short illustrations provided “as is”, without warranty of any kind. Review, adapt and test them before using them in production. The third-party libraries they use are licensed by their own authors under their own terms.

No affiliation or endorsement

This site is independent. It isn't affiliated with, sponsored by or endorsed by OWASP, NIST, MITRE, the European Commission, the European Data Protection Board, or any AI provider or tool vendor named on this site (including NVIDIA, Microsoft, Amazon Web Services, OpenAI, Anthropic, Hugging Face, Pydantic, Confident AI, Ragas, BerriAI, Upstash, Supabase and Framer). Product and company names are trademarks of their respective owners and are used only to identify the products referred to.

External links

We link to official external sources for convenience and verification. We don't control those sites and aren't responsible for their content or availability.

Limitation of liability

To the extent permitted by applicable law, the operator of this site isn't liable for any loss or damage arising from use of, or reliance on, the site or its content. Nothing in this disclaimer limits or excludes liability that can't be limited or excluded under applicable law, including liability for intent or gross negligence, for death or personal injury caused by negligence, or under mandatory consumer protection law.

Last updated: 29 September 2026