Cryptographic Attestation Engine

The cryptographic attestation engine addresses the challenge of proving the provenance and reliability of AI-generated outputs under regulatory scrutiny. It combines hardened signing pipelines with adaptive assurance metrics so that every decision can be audited, replayed, and trusted.

Core Mechanisms

1. Layered Signing Pipeline

Outputs are sealed by both the originating compute environment and the supervisory control layer, creating an immutable timeline of authorship and validation checkpoints.

2. Confidence Scoring Analytics

Multiple statistical signals are fused into a unified confidence index, enabling automated escalation when model responses deviate from expected certainty bands.

3. Scalable Proof Aggregation

Large batches of attestations are compressed into succinct proofs, keeping verification costs predictable even in high-throughput settings while preserving zero-knowledge guarantees.

4. Privacy-Preserving External Verification

Secure transcript witnessing extends coverage to third-party API calls, allowing auditors to validate execution outcomes without accessing sensitive payloads.

5. Privacy-Preserving TLSNotary Integration

A novel variant enabling attestations for black-box API models via MPC proofs of TLS sessions. TLSNotary session proofs are dual-signed and bound to the entropy metrics, achieving reduced data exposure during regulated audits while maintaining proof of execution.