AI Risk Management

How to Scale AI Securely
1. Auflage 2027
ISBN: 978-1-3986-3279-0
Verlag: Kogan Page

Buch, Englisch, 296 Seiten, Format (B × H): 156 mm x 234 mm

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 - Manage third-party AI vendor exposure at scale

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

Autoren/Hrsg.

Knight, Rafah

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Risikobewertung, Risikotheorie
• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Versicherungswirtschaft
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

• Section - ONE: The enterprise AI risk landscape;
• • Chapter - 01: The new AI risk reality – why it changes enterprise risk and governance models;
  • Chapter - 02: Why traditional security frameworks are no longer enough – the limit of existing cyber, compliance and operational risk approaches;
  • Chapter - 03: The rise of AI governance – the emergence as a core enterprise discipline;
• Section - TWO: Building the AI security operating model;
• • Chapter - 04: Designing an enterprise AI security framework – roles, accountability, policies and governance structures;
  • Chapter - 05: AI risk identification and assessment – mapping AI risks across the enterprise;
  • Chapter - 06: Third-party AI and supply chain risk – managing AI vendors, SaaS tools and shadow adoption;
  • Chapter - 07: Secure AI adoption and AI security controls – practical security and assurance controls for AI systems;
  • Chapter - 08: Responsible AI in practice – bias, explainability, accountability and trust;
• Section - THREE: Operationalizing AI security;
• • Chapter - 09: AI security maturity models – how to evolve security capabilities;
  • Chapter - 10: Embedding AI security into enterprise operations – integrating AI security into existing practices;
  • Chapter - 11: AI incident management and operational resilience – managing failures, misuse and AI-related security events;
  • Chapter - 12: The future of AI – regulation, assurance and the future operating model for enterprises

Über Autor(innen)

Knight, Rafah
<b>Rafah Knight </b>is the Founder and CEO of SecureAI, a specialist AI security and governance consultancy. She previously led AI security initiatives at Octopus Investments and worked at EY on technology risk and cybersecurity. She was named one of the Top 10 Women to Watch in AI in 2026 by TechRound. She is a Global Ambassador for the UK to the Global Council for Responsible AI and is based in London, UK.

Rafah Knight is the Founder and CEO of SecureAI, a specialist AI security and governance consultancy. She previously led AI security initiatives at Octopus Investments and worked at EY on technology risk and cybersecurity. She was named one of the Top 10 Women to Watch in AI in 2026 by TechRound. She is a Global Ambassador for the UK to the Global Council for Responsible AI and is based in London, UK.