EU AI Act in force
Extraterritorial. Applies to any organisation placing AI on the EU market - with fines up to €35M or 7% of global turnover.
AI Governance, Risk & Compliance
One audit-ready system of record for every AI model - mapping risk, tracking regulatory obligations, and monitoring for drift, natively inside your GRC platform.
Why now
Extraterritorial. Applies to any organisation placing AI on the EU market - with fines up to €35M or 7% of global turnover.
FCA, PRA, MAS, FSCA and the SEC are issuing AI specific expectations on model risk, fairness and accountability.
Embedded vendor AI is now inside hundreds of SaaS tools your business already uses - most have never been assessed.
Audit committees, investors and proxy advisors increasingly demand responsible AI disclosures backed by real records.
Core capabilities
Centralised catalogue of every AI and ML system - first-party, third-party, and embedded vendor AI - with ownership, classification, data lineage and lifecycle tracked automatically.
Pre-built, framework-mapped questionnaires that assess AI systems against EU AI Act, NIST AI RMF, ISO 42001 and custom internal standards - in one workflow.
Live-updated library of AI regulations mapped to specific control requirements. Obligations auto-linked to relevant AI systems - surfacing gaps and prioritising remediation.
Real-time risk posture dashboards with drift detection, configurable thresholds and automated escalation - closing the loop between assessment and operational reality.
Frameworks covered
Platform advantage
Unlike standalone AI governance point tools, this module operates inside the existing GRC ecosystem - inheriting your control library, risk taxonomy, incident management, audit workflows and third-party risk programmes. AI governance becomes part of your enterprise risk posture.
Value drivers
Answer the regulator's first question - "show us your AI systems and their risk classifications" - in minutes, not weeks.
Pre-mapped templates and automated re-assessment on model change replace bespoke spreadsheet exercises.
Demonstrate continuous compliance with EU AI Act, NIST AI RMF and sector-specific AI guidance.
A clear sign-off path lets data and AI teams ship faster - with governance embedded, not bolted on.
Extend vendor risk programmes to the AI inside the SaaS your business already runs on.
AI risk inherits your existing control library, incident management and audit workflows - no silos, no duplicate data.
Master positioning
"In a world where AI regulation is no longer optional, our AI Governance module gives you the structured, audit-ready programme that turns AI risk into AI confidence - natively embedded in the GRC platform your teams already trust."
AI Governance questions
AI Governance is the operating model that lets organisations deploy AI responsibly. It combines accountability structures, model risk management, data governance, and regulatory compliance for every AI system in use - internal, third-party, and embedded.
EU AI Act, NIST AI RMF, ISO/IEC 42001, OECD AI Principles, MAS FEAT, FCA/PRA AI guidance and DORA - with horizon scanning for new and upcoming regulations.
Standalone tools create another silo. The AI Governance module operates natively inside your GRC platform - inheriting your control library, risk taxonomy, incident workflows and third-party risk programme. AI becomes part of enterprise risk posture, not a parallel system.
Yes. The model registry tracks first-party, third-party and embedded vendor AI, with risk tiering, owner accountability and obligation mapping applied uniformly across all of them.
Because the module sits inside your existing GRC ecosystem, most customers stand up an initial AI inventory and risk assessment workflow within weeks - not the multi-quarter implementations typical of standalone platforms.
From AI inventory to continuous model risk monitoring - in a single, audit-ready framework.