As third-party risks multiply and regulatory frameworks (DORA, CSRD, EU AI Act, Solvency II…) tighten, Third-Party Risk Management (TPRM) has become a strategic priority for organizations.

Our Position Paper shows how Artificial Intelligence (AI) is transforming TPRM into a true performance driver by enabling:

• Proactive and predictive risk detection (financial, cyber, regulatory, reputational, ESG)
• Regulatory compliance and traceability through automation
• Dynamic mapping and monitoring of critical third parties in real time
• Stronger integration of ESG criteria and climate commitments
• Greater resilience and agility across partner ecosystems.

With its ability to analyze massive datasets, correlate risks, and generate actionable insights, AI in TPRM is shifting from a simple monitoring tool to a governance engine. By combining AI with human expertise, organizations can achieve augmented governance that ensures both efficiency and accountability.

Guided by the AI Act and international regulatory standards, AI strengthens compliance, transparency, and security, provided it is deployed within a rigorous governance model.

Inside this Position Paper, you will discover:

• The latest use cases for AI in TPRM (generative AI, OSINT, ESG scoring)
• The safeguards required to ensure responsible, explainable AI
• TNP”s proven methodology for aligning impact, compliance, and governance in third-party risk management.