AI and Third-Party Risk
Solutions for Assessing and Managing Your AI Vendors and Systems
Buch in deiner Nähe kaufen
Beschreibung
Artificial Intelligence is no longer a future concern—it’s a present-day disruptor. As vendors and partners increasingly adopt AI-enabled products and services, third-party and supply-chain risk professionals face a new challenge: managing a rapidly evolving risk landscape with limited guidance. This book delivers the clarity and structure needed to navigate that complexity.
Designed for business professionals—not just technologists—this practical guide walks readers through the full lifecycle of AI-related vendor risk, from intake to offboarding. With hands-on examples, actionable templates, and real-world use cases, it equips readers to assess and manage AI risk confidently, even in environments without dedicated IT security teams. It also explores how AI can be used within TPRM programs to enhance efficiency and accuracy.
As regulatory frameworks around AI continue to emerge and evolve, this book provides timely insight into compliance expectations and how they impact risk programs and leadership. Whether you're a seasoned risk manager or new to the field, you’ll find concise, jargon-free guidance that respects your time and delivers immediate value.
AI may be complex, but managing its risk doesn’t have to be. This book transforms confusion into clarity, helping you turn disruption into opportunity—and build a resilient, future-ready risk management program.
What You Will Learn:
How to measure risk and risk-based approaches.
Third-party risk frameworks.
How to assess the risk of AI with vendors.
Major AI risk management frameworks.
Regulatory guidance for AI--a country-by-country analysis.
Artificial Intelligence is no longer a future concern—it’s a present-day disruptor. As vendors and partners increasingly adopt AI-enabled products and services, third-party and supply-chain risk professionals face a new challenge: managing a rapidly evolving risk landscape with limited guidance. This book delivers the clarity and structure needed to navigate that complexity.
Designed for business professionals—not just technologists—this practical guide walks readers through the full lifecycle of AI-related vendor risk, from intake to offboarding. With hands-on examples, actionable templates, and real-world use cases, it equips readers to assess and manage AI risk confidently, even in environments without dedicated IT security teams. It also explores how AI can be used within TPRM programs to enhance efficiency and accuracy.
As regulatory frameworks around AI continue to emerge and evolve, this book provides timely insight into compliance expectations and how they impact risk programs and leadership. Whether you're a seasoned risk manager or new to the field, you’ll find concise, jargon-free guidance that respects your time and delivers immediate value.
AI may be complex, but managing its risk doesn’t have to be. This book transforms confusion into clarity, helping you turn disruption into opportunity—and build a resilient, future-ready risk management program.
What You Will Learn:
How to measure risk and risk-based approaches.
Third-party risk frameworks.
How to assess the risk of AI with vendors.
Major AI risk management frameworks.
Regulatory guidance for AI--a country-by-country analysis.
Who This Book Is for:
· C-level suite: this is not designed to be overly technical but covers material enough to allow this level to be conversant in strategy and leadership needs to success.
· Director-level in Cyber and IT: this level of personnel are above the individual contributors (IC) and require the information in this book to translate the strategy goals set by C-suite and the tactics required for the ICs to implement and govern.
· GRC leaders and staff: the focus on governance in this book will assist these teams to better understand the strategy and technologies to determine the governance models needed.
· Individual Contributors: although not designed to be a technical manual for engineering staff, it does provide a Rosetta Stone for them to understand how important strategy and governance are to
First guide to managing AI risk in vendor and supply-chain relationships Timely insights on AI regulation and its impact on TPRM programs Includes ready-to-use templates for real-world incident response
Autor*in
Gregory C. Rasner
Themen in »AI and Third-Party Risk«
Artificial Intelligence AI Third-Party Risk Machine Learning AI Agents AI regulations AI frameworks Cybersecurity Supply Chain Risk Third-Party Risk Management Risk Management National Institute of Standards and Technology (NIST) NIST Cloud Security Alliance (CSA) CSA