AI Governance, Risk & Compliance

Govern every AI model. In the GRC platform you already trust.

One audit-ready system of record for every AI model - mapping risk, tracking regulatory obligations, and monitoring for drift, natively inside your GRC platform.

$5.2T
Global AI economy in 2025
127+
AI regulations active worldwide
€35M
Max EU AI Act fine per breach
83%
Of organisations lack an AI inventory

Why now

AI risk has outrun the way most organisations govern it.

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.

Sector regulators are catching up

FCA, PRA, MAS, FSCA and the SEC are issuing AI specific expectations on model risk, fairness and accountability.

Shadow AI is proliferating

Embedded vendor AI is now inside hundreds of SaaS tools your business already uses - most have never been assessed.

Boards want evidence of control

Audit committees, investors and proxy advisors increasingly demand responsible AI disclosures backed by real records.

Core capabilities

One audit-ready system of record for every AI model.

AI Model Inventory & Registry

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.

  • Automated discovery: MLflow, Azure ML, SageMaker, Vertex AI
  • Risk tiering aligned to EU AI Act (Prohibited / High / Limited / Minimal)
  • Third-party and vendor AI tracking
  • Model versioning and change-history audit trail

Automated Risk Assessment

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.

  • Guided templates by model type and industry sector
  • Inherent vs residual risk scoring with configurable thresholds
  • Bias, fairness, explainability and security dimensions
  • Re-assessment auto-triggered on model change events

Regulatory Obligation Mapping

Live-updated library of AI regulations mapped to specific control requirements. Obligations auto-linked to relevant AI systems - surfacing gaps and prioritising remediation.

  • EU AI Act, NIST AI RMF, ISO/IEC 42001, OECD, MAS FEAT, FCA/PRA, DORA
  • Obligation → control → asset traceability matrix
  • Upcoming regulation alerts and horizon scanning
  • Jurisdiction-specific scoping filters

Continuous Monitoring & Alerting

Real-time risk posture dashboards with drift detection, configurable thresholds and automated escalation - closing the loop between assessment and operational reality.

  • Model performance and data drift alerting via API
  • Control effectiveness tracking and exceptions management
  • Automated incident linkage for AI related issues
  • Board and EXCO reporting packs with one-click export

Frameworks covered

Mapped to the regulations your board is already being asked about.

EU AI ActNIST AI RMFISO/IEC 42001OECD AI PrinciplesMAS FEATFCA / PRADORACompanies Act

Platform advantage

Native to your GRC. Not another silo.

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.

Zero
Additional vendor contracts
Unified
Risk taxonomy & reporting
Instant
Go-live on existing GRC data

Value drivers

From AI risk to AI confidence.

Eliminate the AI inventory blind spot

Answer the regulator's first question - "show us your AI systems and their risk classifications" - in minutes, not weeks.

Cut assessment cycle time by 60–80%

Pre-mapped templates and automated re-assessment on model change replace bespoke spreadsheet exercises.

Avoid regulatory fines and enforcement

Demonstrate continuous compliance with EU AI Act, NIST AI RMF and sector-specific AI guidance.

Unblock AI deployment, safely

A clear sign-off path lets data and AI teams ship faster - with governance embedded, not bolted on.

Govern third-party and embedded AI

Extend vendor risk programmes to the AI inside the SaaS your business already runs on.

One platform, total governance

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

What teams ask before they buy.

What is AI Governance?+

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.

Which AI regulations does the module cover?+

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.

How does this compare to standalone AI governance tools?+

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.

Can you govern third-party and vendor AI?+

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.

How fast can we go live?+

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.

Govern AI before regulators do it for you.

From AI inventory to continuous model risk monitoring - in a single, audit-ready framework.