Tier-1 reading. AI systems shouldn’t require trust. For how every AI decision becomes cryptographically verifiable, see Verifiable AI Decisions.
H33 is the cryptographic infrastructure layer for autonomous AI. Every decision attested. Every delegation scoped. Every inference encrypted. Every proof quantum-resistant.
88% of organizations reported AI security incidents last year. 92% of security professionals say AI agents are increasing cyber risk. Only 17% continuously monitor agent-to-agent interactions.
Every AI deployment today runs on trust. Trust that it followed the rules. Trust that it didn't see the data. Trust that the logs weren't altered. Trust is not a compliance strategy.
AI decision logs sit in databases that any admin, attacker, or insider can alter. There is no mathematical guarantee that what the log says happened actually happened. In litigation, mutable logs are worthless.
AI agents approve loans, triage patients, filter resumes, and execute trades. No one can independently verify what the agent did, what data it saw, or whether it stayed within its authorized scope.
SLAs, data processing agreements, and governance policies are PDF documents. They describe what should happen. They cannot prove what did happen. The gap between policy and proof is where risk lives.
Three independent hardness assumptions. Independently verifiable. Quantum-resistant for the full audit retention period. Not a log entry. A cryptographic proof.
H33 sits between your AI and the world. Every inference, every delegation, every decision produces a 74-byte attestation signed under three independent post-quantum signature families.
Breaking the attestation requires simultaneously breaking MLWE lattices, NTRU lattices, and stateless hash functions — three independent mathematical bets that have no known quantum or classical attacks.
The result is an AI audit trail that holds up in court in 2056 the same way it does today. Not because you trust the infrastructure. Because mathematics makes forgery computationally infeasible.
Inference, delegation, scope change, or autonomous decision
Operation fingerprinted with quantum-resistant hash
ML-DSA + FALCON + SLH-DSA sign the hash independently
Compressed to 32 bytes on-chain + 42 bytes in Cachee
Any third party can verify without contacting H33
Each pillar addresses a distinct failure mode in autonomous AI. Together, they close every gap between what AI does and what you can prove it did.
Cryptographic proof at every AI decision point. Every inference, classification, and prediction produces a post-quantum signed attestation that any third party can independently verify.
Authorization, delegation, and scope control for autonomous AI agents. Cryptographically enforce what an agent can do, who delegated the authority, and when that authority expires.
FHE processing without data exposure. The AI model computes on fully encrypted data and never sees the plaintext. Not access control. Mathematical impossibility of exposure.
Prove HOW decisions were made, not just that they were made. ZK-STARK proofs demonstrate which policy governed which decision at which moment — without exposing model internals or input data.
HIPAA, SOX, GDPR, EU AI Act, and FINRA mapping with cryptographic evidence. Replace quarterly compliance PDFs with real-time, independently verifiable proof bundles.
For AI memory integrity, execution replay, and tamper-evident audit trails, Cachee provides a post-quantum attested caching layer. Every cache entry is PQ-attested via H33-74. Every eviction is logged. Every replay is verifiable.
Visit Cachee.ai →Verifiable AI is a stack of distinct roles that must not be conflated. Agent-008 owns exactly one verb: it governs an AI decision under attested authority — gating each action against a certified root of human intent and current policy, then sealing a Provable Authority Package that answers “was this agent allowed to do that?” The other roles sit beside it, not inside it.
Authorizes AI-agent actions under attested authority and preserves replayable evidence of why. This is the governance verb. It does not render external verdicts, monitor over time, score maturity, or produce the primitive.
Renders the independent verdict on an artifact. Distinct from governing: Agent-008 decides authorization; Verification is the external verifier that pronounces on the artifact.
Routing: use Agent-008 to govern an AI decision under attested authority; use Verification for the independent verdict; use HATS for continuous operational evidence; use HICS to score maturity; use H33-74 to produce portable evidence.
See how cryptographic attestation, agent governance, and encrypted inference work together. Live demo, your data, your AI endpoint. No commitment required.