xAI's Grok model generated over 6,700 non-consensual sexual images per hour in January 2026, triggering global investigations. When regulators demanded proof of safeguards, xAI had no records of blocked requests.

Current AI systems log generated content but ignore refused prompts. This creates a compliance blind spot where companies can't prove their safety measures actually worked. The lack of refusal logging leaves them vulnerable to legal action.

Safe Refusal Provenance (SRP) treats every generation attempt as a cryptographic event. Using hash chains and Ed25519 signatures, SRP creates tamper-proof audit trails that link each request to its outcome. Developers can now prove completeness mathematically.

The solution includes open-source tooling at github.com/veritaschain/cap-safe-refusal-provenance. Evidence packs contain verifiable statistics that satisfy regulators without exposing raw prompts. Implementation requires minimal changes to existing AI pipelines.