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cryptographic receipts for AI code changes pip install titanate

by rmasoodx22·Mar 8, 2026·1 point·1 comment
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AI Analysis

●MidBig Brain

Merkle-anchored receipts for AI verdicts, but solves compliance theater—not a real adoption driver.

Strengths
  • •Cryptographic spec is rigorous: HMAC-SHA256, canonical JSON, append-only chaining, daily Merkle roots
  • •SOC2 control mappings are explicit, not aspirational
  • •Offline verification requires only receipt + key, no network or database
Weaknesses
  • •No integration with real AI evaluation systems (Copilot, GitHub Actions); examples only
  • •Assumes AI verdict credibility is the bottleneck, not audit log design itself
Category
Security
Target Audience

Security teams, compliance engineers, enterprises auditing AI-assisted code reviews

Similar To

Sigstore · SLSA framework

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