Continuous Operational Assurance for Enterprise AI, pre-mapped to the regulations your CISO, Chief Risk Officer, General Counsel, and Chief Compliance Officer are accountable to.
Regulators are not converging on a single AI rulebook. They are converging on a single underlying control discipline. Reign ships pre-mapped to the six frameworks that carry the most regulator weight across the geographies and industries your enterprise operates in. The evidence Reign emits is the evidence your regulator already accepts.
Reign supports compliance readiness, auditability, continuous monitoring, and control evidence for enterprise AI agents. It does not by itself guarantee regulatory compliance.
The callout sets the boundary for everything below it. Reign maps to the frameworks. The accountable function inside the customer carries the compliance opinion. Reign carries the evidence chain that opinion is built on.
The regulators your function reports to do not coordinate the language. EU AI Act says one thing. The Fed says another. DORA, NIST, ISO, and FDA each carry their own vocabulary and their own evidentiary expectations. Underneath the language, the control discipline is largely the same. Identity-bound runtime decisions. Tamper-evident audit chains. Independent challenge. Submission-ready evidence on demand.
Reign was architected against that underlying discipline. The platform delivers it once. The output is then expressed in the vocabulary each regulator already accepts.
Six frameworks. Three geographies. One evidence chain.
European single market
Read the mapping FrameworkUS-supervised institutions
Read the mapping FrameworkEU financial services
Read the mapping FrameworkUS cross-cutting organizing model
Read the mapping FrameworkGlobal
Read the mapping FrameworkUS life sciences
Read the mappingThe EU AI Act sets binding obligations on providers and deployers of high-risk AI systems across the European single market. The core obligations land in Article 9 (risk management), Article 10 (data and data governance), Article 12 (record keeping), Article 14 (human oversight), and Article 15 (accuracy, robustness, and cybersecurity).
Reign delivers risk classification per model and per agent at the gateway, with continuous risk assessment running against the evidence chain. The audit chain satisfies Article 12 record-keeping requirements at the population level. Human oversight handoffs are policy-enforced at the gateway under Article 14. Drift detection and robustness testing run continuously against Article 15.
The customer leaves with submission-ready evidence packets framed in EU AI Act vocabulary. Deep reference at /reign/eu-ai-act.
The Federal Reserve's revised model risk management guidance, SR 26-2, supersedes SR 11-7 and remains the foundational expectation for model risk at supervised institutions. At footnote 3, the guidance carves out generative and agentic AI from the prescriptive SR 11-7 playbook and instructs supervised institutions to govern these systems using existing model risk management practices.
The carve-out creates a regulator-named obligation with no regulator-prescribed playbook. Supervised institutions are accountable for the outcome without a step-by-step procedure to point to during an examination.
Reign is the playbook.
The platform delivers the four controls SR 26-2 expects, expressed in the vocabulary the Fed already accepts. Approved-model registry with risk classification. Independent challenge as a continuous artifact, not a quarterly document. Tamper-evident change records on every model change. Examination-ready evidence on demand. Deep reference at /reign/for-mrm and /reign/model-risk-validation.
The Digital Operational Resilience Act binds EU financial-services entities to a single ICT-resilience regime. The obligations land in five domains. ICT risk management. Incident reporting. Digital operational resilience testing. ICT third-party risk. Information sharing.
Agentic AI now operates inside every one of those domains. A misbehaving agent is an ICT incident. An external model provider is a critical ICT third-party. A model that drifts under load is an operational resilience failure under stress testing.
Reign instruments the AI layer against each DORA domain. Agent actions and model invocations are captured at the gateway and time-stamped for incident reconstruction. The evidence chain feeds the resilience-testing program. Third-party model and tool dependencies are catalogued and continuously assessed. The output is submission-ready in the format your DORA examiner is already preparing to consume.
The NIST AI Risk Management Framework is the voluntary US standard most enterprises adopt as their internal organizing model. The four functions, Govern, Map, Measure, and Manage, each carry sub-categories that show up inside enterprise AI governance policies, board reports, and internal audit programs.
Reign delivers the runtime substrate that the NIST functions describe. The audit chain is the measurement layer. The gateway is the management layer. The approved-model registry and risk classification surface are the mapping layer. The policy framework and access controls are the governance layer.
For organizations using the NIST AI RMF as the connective tissue across their AI program, Reign is the operational layer that gives the framework something concrete to point to.
ISO/IEC 42001 is the first certifiable AI management system standard. Like ISO 27001 for information security, 42001 specifies the management system, not the controls themselves. A certified organization runs an AI management system that identifies AI risks, sets objectives, monitors performance, and continuously improves.
Reign provides the operational substrate that the management system runs against. The audit chain produces the monitoring data the AIMS reviews. The approved-model registry is the AI inventory the standard requires. Independent challenge and continuous drift detection feed the corrective-action loop.
For organizations pursuing 42001 certification, Reign accelerates the certification audit by giving the auditor a continuous, queryable evidence chain instead of point-in-time snapshots.
For AI/ML-enabled medical devices, in-vitro diagnostics, and pharmaceutical manufacturing systems, the FDA's Pre-determined Change Control Plan framework allows pre-authorized modifications to a regulated AI system without re-submission, provided the change is inside the PCCP envelope and the supporting evidence holds up.
Reign delivers the PCCP-aligned change record on every model change. The approved-model registry tracks the envelope. The audit chain captures the actual change with provenance, reviewer, validation results, and impact assessment. The output is the artifact the FDA submission process is built to consume.
Deep references at /reign/life-sciences and the FDA PCCP framework card.
EU AI Act and DORA. Binding on EU-resident entities and on US, UK, and Canadian operations that touch the EU market or EU customers.
SR 26-2 for Federal Reserve supervised institutions. NIST AI RMF as the cross-cutting organizing model. FDA PCCP for life-sciences regulated AI.
OSFI E-23 for federally regulated financial institutions. Mapped from the same evidence chain that satisfies SR 26-2.
ISO/IEC 42001 as the certifiable AI management system standard.
FDA PCCP for life sciences. FINOS AIGF for capital markets. SR 26-2 for banking. DORA for EU financial services. EU AI Act for any high-risk system regardless of industry.
Policy at the point of decision. Identity-bound. The runtime layer that answers the before-execution question for every framework.
Read more ComponentApproved-model registry, independent challenge, drift detection, change records. The component that satisfies SR 26-2, EU AI Act Article 15, and FDA PCCP simultaneously.
Read more ComponentTamper-evident audit chain. Continuous Audit Validation Reporting. The component that satisfies Article 12 record-keeping, DORA incident-reconstruction, and ISO 42001 monitoring at the population level.
Read more ComponentFramework-mapped, submission-ready artifacts. The output the regulator's examiner already knows how to consume.
Read moreFour stages. The Executive Assurance Briefing walks through the frameworks your function is on the hook for and the highest-risk gaps to address first. The Runtime Risk and Governance Assessment scopes the agents and workflows already in scope against those frameworks. Pilot proves runtime evidence at a fixed scope. Platform Rollout is where Reign goes into steady-state production. Most enterprises start at Stage 1.