AI Risk Management

Build an AI security operating model that manages risk, strengthens governance and enables AI to scale securely.

AI Risk Management is a practical guide for AI risk owners, GRC managers, AI governance managers and technology risk professionals responsible for managing the security risks of AI.

Written by security expert Rafah Knight, this book shows how to make AI security operational, measurable and embedded into existing business processes. It provides practical guidance on establishing ownership and accountability for AI risk, designing effective governance structures, implementing policies and controls and managing third-party AI vendor exposure.

Drawing on real-world examples from financial services, retail, the public sector and healthcare, learn how to:
- Build an effective AI security operating model
- Establish clear ownership and accountability for AI risk
- Design AI governance policies, controls and assurance processes
- Measure AI security and operational risks effectively
>AI Security gives you the practical structures and controls to operationalize AI assurance, strengthen AI governance and support secure AI adoption at scale.

Themes include: AI security, AI risk management, AI governance, GRC, AI assurance, third-party AI risk