ArchAngel Platform Compliance Engine
Verified by Math, Authorized by Humans.
AI processes the regulatory corpus. Deterministic constraints are verified with mathematical certainty — automatically, with no hallucination risk. Probabilistic constraints are escalated for human review and cryptographically authorized. No black boxes. No guesswork.
CISOs Don't Trust Black-Box AI. Neither Should You.
Generic LLMs hallucinate. They generate plausible-sounding compliance analysis with no guarantee of correctness. When the penalty for a wrong answer is 2% of global turnover, “probably right” is not acceptable.
ArchAngel takes a different approach: AI does the parsing. Deterministic constraints are verified with mathematical certainty. Probabilistic ones — where context and judgment matter — are escalated to humans.
"Financial entities shall ensure that all data in transit across public networks is encrypted using strong cryptographic protocols, and compensating controls exist for legacy integrations."
Compensating controls required for legacy downstream systems lacking TLS 1.3 support.
From Regulatory Text to Executable Constraints
Regulatory Ingestion
Point ArchAngel at DORA articles, NIST AI RMF controls, HIPAA provisions, or your internal governance frameworks. The AI parses natural-language obligations and maps them to architectural domains — data flow, access control, service boundaries, resilience patterns.
Constraint Translation
Regulatory language becomes executable policy rules — categorized into two tracks. Deterministic constraints: binary, provably correct or incorrect, automatically enforceable. Probabilistic constraints: contextual, judgment-dependent, escalated for human review. Each traces back to the specific regulatory clause it implements.
Selective Human Authorization
Not every constraint requires human review — only the ones that should. Probabilistic constraints, where regulatory intent involves context or expert judgment, are surfaced for domain expert review. Approve, modify, or reject. Every decision is cryptographically signed with the authorizer's identity and timestamp. The audit trail is immutable.
The Validation Model
Provably Correct. Not Probably Correct.
Deterministic constraints — those with provably binary outcomes — are enforced automatically with mathematical certainty. No AI estimates. No confidence scores. Pass or fail.
Probabilistic constraints, where regulatory intent requires expert judgment, are escalated for human review. The system knows the difference. You stay in control of the decisions that warrant it.
"Compliance by construction, not inspection."
Built for the Regulations That Matter
Custom regulatory frameworks supported. Bring your own policy corpus.