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Beyond the Horizon: AI and the Future of Third-Party Risk Management (TPRM) [Part 6 of 6]

Updated: Jan 20


Traditional TPRM methods, manual assessments and static questionnaires, can’t keep pace with today’s dynamic risk landscape. The next generation of TPRM is powered by AI, automation, and real-time analytics, enabling organizations to move from reactive compliance to proactive, predictive risk management.


Key Shifts Driving TPRM Evolution:

  • Continuous Monitoring: 24/7 AI-driven scanning of vendor activity, news, and social signals for early risk detection.


  • Predictive Analytics: Forecast disruptions from cyber threats, regulatory changes, or supply chain shocks.


  • Automated Compliance: AI streamlines contract reviews and ensures alignment with GDPR, CCPA, ISO 27001, SOC 2.


  • AI-Augmented Assessments: Intelligent tools identify control gaps and interact with vendors in real time.


  • Governance & Responsible AI: Strong frameworks for ethical, transparent AI adoption.


What Risk Leaders Should Do Now: Embrace continuous monitoring and predictive analytics• Automate routine tasks for efficiency• Integrate external intelligence for holistic visibility• Strengthen governance for AI-specific risks


The Bottom Line: AI and automation aren’t just reshaping TPRM. They’re redefining resilience. Organizations that act now will gain agility and a competitive edge.


Ready to future-proof your TPRM strategy? Let’s connect and explore how AI can transform your risk management approach. Email me, Ed Wurster or leave me a comment to continue the conversation!


Written by Edward Wurster, III, Manager, Business Continuity and Cyber Resilience for The Hospital and Healthsystem Association of Pennsylvania and HAPevolve



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