Regulatory intelligence, connected to what actually runs.
Compliance positions are only as strong as the link between an obligation, the control that satisfies it and the system it applies to. Regurai keeps that link explicit.
What the platform supports.
Obligation mapping
Record obligations and standards relevant to the organisation and connect them to the policies, controls, AI systems and data they apply to.
Policy & control library
Maintain policies and controls with named owners, coverage, assurance frequency and the evidence that supports each position.
Accountability
Every governed item carries an accountable owner, so oversight is attributable rather than collective.
Readiness view
See where a compliance position is supported by evidence, where it is asserted, and where it is unmapped.
Change awareness
When the enterprise changes, connected obligations and controls are re-surfaced rather than silently going stale.
Human-in-the-loop
Governance conclusions are made by accountable people. Regurai does not use AI to interpret regulation or to translate governance content.
Frameworks the model is structured around.
These frameworks provide structure for how information is organised. Referencing a framework is not a claim of certification or accreditation.
NIST AI RMF
Structure AI risk identification, measurement and management activity.
ISO/IEC 42001
Support an AI management system approach to governance and oversight.
Responsible AI
Record fairness, transparency and accountability considerations against systems.
Model Risk Management
Support model inventory, ownership, validation and lifecycle evidence.
Operational Resilience
Connect AI and technology dependencies to service continuity.
Data Protection
Track sensitivity, purpose and data usage associated with AI systems.