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Third-Party Risk Management with AI Automate Vendor Risk Assessments and Monitor Third-Party Threats at Scale

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Third-Party Risk Management with AI: Automate Vendor Risk Assessments and Monitor Third-Party Threats at Scale by Mohan Rayithi
English | August 20, 2026 | ASIN: B0HFWY3CTQ | 236 pages | EPUB | 0.58 Mb
Third-Party Risk Management with AI is not another checklist-driven compliance book. It is a practical, real-world transformation guide for organizations that need to manage vendor risk at scale-without slowing down the business.


In today's interconnected environment, vendors are not external-they are embedded in your operations, data flows, and attack surface. Traditional TPRM approaches-static assessments, outdated questionnaires, and periodic reviews-no longer work.
This book shows you how to move from point-in-time risk assessments to continuous, AI-driven risk intelligence.
You will learn how to:
Automate vendor assessments without losing control
Replace static risk scores with real-time risk signals
Monitor vendor risk continuously using internal and external intelligence
Detect early warning signs before incidents occur
Respond effectively when vendors become breach entry points
Build a scalable, AI-driven TPRM architecture
Balance automation with governance, accuracy, and audit readiness
Written from the perspective of a seasoned practitioner, this book cuts through theory and delivers practical execution strategies, real-world constraints, and decision-making frameworks used in complex enterprise environments.
Whether you are a CISO, GRC leader, or vendor risk professional, this book will help you transform TPRM from a compliance burden into a continuous risk intelligence capability.

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