regulated-ai

Agility infrastructure for regulated AI. Trace, Policy, Evidence under EU jurisdiction. Apache 2.0, on-premise capable.

Behavioral Trust Clustering a thermodynamic governance layer that reduces LLM hallucination by 52% on HumanEval. Drop-in wrapper for any decoder. MIT.

Governance patterns for autonomous AI agents in regulated financial services — DEFCON state machine, Sovereign Veto, Audit Chain, EU AI Act mapping

Model-neutral Agent IAM runtime for regulated AI workflows: short-lived capabilities, API-body enforcement, credential brokering, and tamper-evident audit trails.

kolm — the AI compiler. Compile any task into a signed .kolm artifact that runs locally. RS-1 open spec, MIT.

A modular architecture for AI-powered regulated investigation. 8 universal base components · 7 plug-and-play clusters · 6 deployment profiles.

Secure CI/CD and infrastructure patterns for regulated AI/ML deployments

Interpretability-first ML pipeline wrapper for regulated industries

Compliance and audit middleware for LLM agents operating in regulated financial workflows.

A starter repository for documenting, reviewing, and releasing regulated AI systems.

Policy enforcement for AI agents in regulated environments (FERPA, HIPAA, GLBA, GDPR): framework adapters for CrewAI, AutoGen, LangChain, Semantic Kernel, Haystack

Reference architecture for wrapping a frontier model so it can ship in a regulated workflow: gateway, permission-aware retrieval, two-sided guardrails, identity/KYB-KYC, pre-registered eval gate, tamper-evident audit. The model is the easy part; the wrap is the product.

Cryptographic receipts for agent traces: hash chain, Ed25519, JCS canonical.

Can your AI act as a fiduciary inside a regulated bank? A deployment-readiness benchmark that drops LLMs into a synthetic regulated organization as an employee and audits the behavior.

Reference architecture for accountable AI document workflows with RAG-style retrieval, validation, human review, and audit logging.

Regulated multi-agent operations platform with governance, review, and audit-friendly workflows.

Governance patterns for autonomous AI agents in health-insurance / payer operations — UM, prior auth, claims/appeals. Aligned to the NAIC Model Bulletin framework. Reference IP; makes no medical-necessity determination.

Fiducial Mesh — open specification (CC-BY-4.0) for cradle-to-grave traceability of AI-assisted engineering: sovereign agent identity, policy, audit, and knowledge-grounding primitives for regulated, certifiable AI. SPEC-001 + HDBK-001.

Traceable, human-controlled impact assessment for clinical-trial protocol amendments, with evidence, audit trails, and fail-closed escalation.

Proof of Insight — specification, schemas, and governance