The AI-Based Third-Party Risk Management Playbook
Your Complete Roadmap to Modern Third-Party Risk Management with AI and Automation
Chapter 01
Vendor onboarding at your organization takes 45 days on average. Manual questionnaires sit unanswered for weeks. Assessment backlogs grow faster than your team ...
Read more
Chapter 02
Every vendor risk platform now claims AI capabilities. Some use machine learning to analyze patterns across thousands of vendor assessments. Others apply the te...
Read more
Chapter 03
Point-in-time vendor assessments miss risks that emerge between reviews. Most risk teams subscribe to monitoring feeds for security threats, credit changes, and...
Read more
Chapter 04
Regulations like GDPR, HIPAA, and ISO 27001 define how organizations manage third-party relationships. As requirements tighten globally, blind spots in vendor o...
Read more
Chapter 05
Three years ago, you managed 200 vendors. Today it's 600. Your team? Still three people.
Read more
Chapter 06
Your CFO just asked you to justify next year's third-party risk budget. You know the program needs more resources as vendor counts keep climbing. Regulators wan...
Read more
Chapter 07
Walk into any TPRM discussion and you'll hear vendors promote "AI-powered" capabilities. Dig deeper and you'll find automation without explainability. Black box...
Read more
Table of Contents
- AI-Driven Third-Party Risk Management: An Introduction
- AI for Third-Party Risk Managers: A Practical Guide
- AI-Powered Continuous Monitoring for Third-Party Risk
- AI for Regulatory Compliance in Third-Party Risk
- How Small TPRM Teams Scale Coverage with AI
- Building the Business Case for AI in TPRM
- ComplyScore® AI TPRM for Autonomous Risk Management