“AI risk management should not stand apart. It must be embedded within your enterprise risk framework to turn uncertainty into advantage.” – Michael Howell, Head of Risk Research & Knowledge, Protecht
AI adoption is accelerating, but so are the risks. From opaque decision-making to model drift, hallucinations, and fraud amplification, AI introduces uncertainty at every level. Regulators are responding fast, with new global standards like the EU AI Act, ISO 42001, and NIST AI RMF reshaping expectations for governance and risk management.
Managing AI risks: Turning uncertainty into advantage is your practical guide to governing AI responsibly and embedding it into your enterprise risk framework. It shows how to identify, assess and monitor AI risks across their lifecycle - and how Protecht’s AI governance solution helps you do it in practice.
Whether you’re building AI in-house or adopting third-party tools, this guide shows how to protect your organization, build trust and move forward with confidence.
What you’ll learn
- How AI is reshaping risk landscapes for every organization
- Key regulatory drivers including the EU AI Act and ISO 42001
- Practical steps to assess, manage, and monitor AI risks
- How to align AI risk management with enterprise governance
- Ways to embed AI governance and assurance within enterprise risk
- How Protecht’s AI governance solution provides continuous oversight and compliance confidence
Who should read this
- Chief risk officers: Understand how AI risk impacts your organization’s strategic objectives
- Compliance managers: Stay ahead of evolving AI governance and regulatory requirements
- IT & cyber security leaders: Manage AI’s role in amplifying cyber threats and system vulnerabilities
- Risk managers: Integrate AI risk into your enterprise risk processes with clarity and confidence
How Protecht helps
Protecht’s AI governance solution turns AI risk management from a compliance challenge into a strategic capability. It helps you:
- Build a central inventory of all AI systems, internal and third-party
- Capture AI risks, controls and decision gates across the lifecycle
- Map controls to ISO 42001, NIST AI RMF and EU AI Act requirements
- Simplify assurance workflows and real-time monitoring
- Generate auditable dashboards to demonstrate governance and accountability
