Model Hub
Browse PQC-verified AI models, datasets, and tools
Immutable filesystem-level audit log for AI inference events. SHA3-256 Merkle segments with ML-DSA-65 signed headers, cross-segment hash chain, O(log n) inclusion proofs, filesystem immutability guards. EU AI Act Article 12 compliance ready. 37 tests passing.
PQC-secured federated learning aggregation. ML-DSA signed gradient updates from clients, verifiable aggregation proofs from server. Pluggable aggregators: FedAvg, FedSum, FedMedian (robust), FedTrimmedMean. Byzantine-resilient. 31 tests passing.
PQC-signed neurosymbolic reasoning ledger. Chain-of-thought steps hash-chained in real time during AI inference, Merkle-rooted, ML-DSA-65 signed. Produces legally defensible reasoning trails that survive quantum transition. 11 StepKinds (thought, observation, hypothesis, deduction, retrieval, tool-call, tool-result, self-critique, refinement, decision, meta). 36 tests passing.
PQC Secure Enclave SDK for on-device AI. ML-KEM-768 key encapsulation + AES-256-GCM encrypted model weights, credentials, adapters, biometric templates. Pluggable backends for Apple Secure Enclave, Android StrongBox, Qualcomm QSEE. ML-DSA device attestation for proof of enclave storage. Protects 5+ year HNDL exposure of on-device weights. 32 tests passing.
PQC Byzantine fault-tolerant consensus for federated AI governance. ML-DSA-65 signed proposals and votes, weighted quorum policy (PBFT 2/3+2/3 default), Byzantine double-vote detection, AuthorizationChain with AUTHORIZE/REVOKE semantics. 9 proposal kinds for enterprise AI oversight. Quantum-resistant DAO for distributed AI trust. 38 tests passing.