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AI Risk Management: How to Scale AI Securely [9781398632790]

AI Risk Management: How to Scale AI Securely [9781398632790]

Paperback
SKU: 9781398632790
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Format Lightweight and affordable. Perfect for student groups and classrooms, and a versatile option for corporate trainings, team reads, or large-scale events.

Price $42.99

Total for 25 copies:

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title will be released on Aug 31, 2027. Pre-order now!

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Overview

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



The book, AI Risk Management: How to Scale AI Securely [Bulk, Wholesale, Quantity] ISBN#9781398632790 in Paperback by Rafah Knight may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Author:
Rafah Knight
Format:
Paperback
Publication Date:
08/31/2027
ISBN-10:
1398632791
ISBN-13:
9781398632790
Pages:
296
Publisher:
Kogan Page

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