GuidesFundamentals

What is AI Governance?

Your teams are already using AI. Governance is how you keep that safe, compliant, and defensible without blocking it.

6 min read

AI Governance is the set of policies, controls, and monitoring that manage how an organisation adopts and uses artificial intelligence. It covers which AI tools and models are allowed, what data can go into them, and how outputs are used, so the business can move fast without creating unmanaged risk.

The urgency comes from shadow AI: employees adopting AI tools faster than security can review them, often pasting sensitive data into services no one has vetted. Governance brings that back under control.

Key takeaways

AI Governance manages the risk of how AI is adopted and used, not just the models you build.
Shadow AI, sensitive data in prompts, and unvetted tools are the immediate risks.
Frameworks like the NIST AI RMF, ISO 42001, and the EU AI Act are shaping expectations.
A programme runs discovery, then policy, then monitoring, in that order.

The risks governance addresses

AI introduces new versions of familiar risks: data leakage through prompts, unvetted third-party AI tools, biased or wrong outputs used in decisions, and compliance exposure when personal or regulated data flows into a model. Without governance, none of this is visible.

Frameworks to anchor to

You do not have to invent controls from scratch. Emerging standards give structure:

The NIST AI Risk Management Framework (AI RMF) for a risk-based approach.
ISO/IEC 42001 for an AI management system.
The EU AI Act for risk-tiered legal obligations where it applies.
Existing privacy law, such as the DPDP Act and GDPR, where personal data is involved.

The pillars of a programme

A workable AI governance programme tends to follow a sequence: first discover where AI is actually being used, then set policy on what is allowed, then monitor and enforce. Discovery first matters, because you cannot govern what you cannot see.

Frequently asked questions

Is AI Governance only for companies that build AI?

No. Most organisations consume far more AI than they build. Governance covers the AI tools and models your teams use day to day, not just anything you develop.

What is shadow AI?

Shadow AI is the use of AI tools and services that have not been reviewed or approved, often with sensitive data. It is the most common and immediate AI risk for most organisations.

How does NMT approach AI Governance?

NMT follows a framework-to-policy-to-monitoring flow: agentless discovery of AI usage, policy templates derived from frameworks, and ongoing evaluation of prompts and responses against those policies.

Bring AI usage under control

Start with visibility into your exposure and how your organisation is using AI.

Talk to us

NOVA DRIM platform Guide: What is Cyber Risk Quantification? Cybersecurity for SaaS & startups