What the architecture delivers
- Continuous Observability — every AI and agent call gated, identity-bound, and recorded at runtime.
- Continuous Assurance — submission-ready evidence packages for the regulator your industry answers to.
- Three Lines of Defense — applied to AI by construction, not bolted on after the fact.
- Sovereignty as a deployment property — same governance layer across SaaS, Dedicated, Customer Cloud, and Air-Gapped.
Mapped to the frameworks regulated industries answer to
Four components — Three Lines of Defense
1st Line of Defense
AI Gateway
Policy enforcement at runtime. Identity-bound. MCP-native. Every AI and agent call gated and logged.
2nd Line of Defense
Model Risk Validation
Independent challenge. Approved-model registry, validation harnesses, drift detection, predetermined change-control plans.
3rd Line of Defense
Audit Ledger (CAVR)
Independent attestation. Tamper-evident records of every AI and agent decision — Continuous Audit, Validation & Reporting.
Independent Assurance
Assurance Packs
Regulator-facing evidence packages, mapped to the framework your industry answers to.
The Trust Layer that sits between AI and the regulator
Reign is not an MLOps platform, not a SIEM, and not a GRC tool. It is the Trust Layer that sits between enterprise AI systems and the regulator who will eventually ask, “show me what the system did, why, and who can attest to it.” The Spine answers that question by construction — at runtime, with independent challenge, with tamper-evident records, and with submission-ready evidence packages.
Where you are on the path matters. The Four Levels of AI Governance Maturity describe the journey from ad-hoc to continuously assured. The Reign Architecture is what you deploy when you are ready to operate at the upper levels.