Third-party risk management programs, or TPRMs, face mounting pressure as organizations leverage more vendors while assessment processes remain manual and spreadsheet-driven. Traditional TPRM workflows struggle with volume - hundreds of lower-risk vendors go unassessed, evidence validation requires parsing millions of words across documents, and questionnaire completion creates bottlenecks for both assessors and vendors.

AI transforms TPRM through three critical capabilities: predictive risk analysis, automated evidence validation and AI-powered assessment completion that eliminates questionnaire delays.

In this session, led by Dave Stapleton, chief trust officer and vice president at ProcessUnity, you will learn:

• How to implement predictive analytics to prioritize vendor portfolios and challenge existing risk assumptions;
• How to deploy automated validation systems that accelerate evidence review while maintaining accuracy;
• How to build AI governance frameworks that balance automation with human expertise and accountability.