Validator Master Limitations, Privacy, and Claim Boundaries
Explicit limits on what Validator Master evidence establishes and how public-alpha requests should be handled.
What a score does not establish
A Validator Master score does not prove that an AI system or answer is completely safe, factually correct, unbiased, secure, legally compliant, or suitable for a high-stakes decision.
A perfect behavioral score can coexist with a factual error if the error is outside the evidence available to the behavioral evaluator.
Privacy
The public demonstration is for non-sensitive testing. Validator Master does not persist raw prompts or raw AI responses in application storage by default, but provider-backed generation sends content to the selected provider and supporting infrastructure under their applicable terms and controls.
Claims not made
- NIST approval, endorsement, certification, compliance, conformance, or validation
- universal AI safety certification
- proof of factual correctness
- hidden-reasoning or chain-of-thought inspection
- provider endorsement or partnership unless separately verified