Traditional audit trails describe what systems reported. Cryptographic audit trails prove what actually happened — with mathematical certainty, independently verifiable.
The difference between recording what a system claims happened and proving what actually happened.
Four components produce a continuous, verifiable record of every computation.
Every computation produces a 74-byte attestation. 32 bytes on-chain, 42 bytes in Cachee. Permanent, tamper-evident, constant-size regardless of computation complexity.
Computation integrity verified without exposing the underlying data. The proof demonstrates the correct algorithm was applied to the correct inputs, without revealing either.
ML-DSA + FALCON + SLH-DSA. Three independent mathematical hardness assumptions. Breaks only if lattices, NTRU lattices, and stateless hash functions are all simultaneously broken.
Proofs are generated continuously at execution time, not as periodic snapshots. No gaps, no batch windows, no missed events.
Every cryptographic audit trail answers four categories of questions with mathematical certainty.
Was data exposed? Prove that sensitive data remained encrypted throughout processing. Verify that decryption boundaries were never crossed outside authorized operations.
Was the right algorithm applied? Prove that the correct computation ran on the correct inputs and produced the correct outputs, without revealing any of them.
Were access controls enforced? Prove that authorization policies were evaluated and enforced at every step, not just at the perimeter.
Who touched what, when? A cryptographically signed chain of every access, transformation, and decision, with timestamps bound to the proof.
The defining property: verification requires nothing from the operator.
Verification does NOT require: access to the originating system, H33's infrastructure, or the underlying data. Any third party can verify. An auditor, a regulator, a counterparty, an insurance underwriter — anyone with the 74-byte attestation can independently confirm what happened.
This is the shift. Traditional audit relies on trusting the operator to produce accurate records. Cryptographic audit relies on verifying the math. The operator cannot misrepresent what happened because the proof is bound to the actual computation, not to the operator's report of it.
Cryptographic audit trails satisfy the strictest compliance frameworks because they replace trust with proof.
Prove every data access, transaction computation, and control enforcement. Continuous cryptographic evidence replaces periodic compliance sampling.
Prove that PHI was never exposed during processing. Cryptographic proof of data handling satisfies HIPAA audit requirements at the mathematical level.
Prove that claims were processed according to policy rules. Underwriters can independently verify decisions without accessing the insured's data.
Continuous cryptographic monitoring satisfies FedRAMP continuous monitoring requirements with independently verifiable evidence, not self-reported dashboards.
Prove model governance, training data provenance, and inference integrity. Cryptographic proof that the right model processed the right data with the right controls.
The conformance standard for continuous AI trustworthiness.
HATS is a publicly available technical conformance standard for continuous AI trustworthiness; certification under HATS provides independently verifiable evidence that a system satisfies the standard's defined controls. Learn more about HATS