AI in the supply chain: Rethinking Third-Party Risk Management (TPRM)

Description:

As artificial intelligence (AI) becomes deeply embedded into business operations, it’s not just your organisation that’s evolving—your third-party vendors are too. From automated decision-making to predictive analytics and generative AI tools, suppliers are increasingly integrating AI into their products, services, and internal processes. While this promises increased efficiency and innovation, it also introduces a new layer of complexity to third-party risk management (TPRM).

Details:

AI in the supply chain is not just a tech trend—it’s a risk vector.

Problem:

Traditional TPRM frameworks were designed to evaluate vendors based on static criteria like financial health, compliance certifications, and security controls. But these frameworks often fall short when assessing vendors that use AI in ways that are opaque, constantly evolving, and hard to monitor.

Questions arise:

Value Proposition:

In this presentation, we’ll explore how the rise of AI in vendor ecosystems is reshaping the way organisations must approach TPRM. We’ll unpack the risks, the blind spots, and the practical changes that cybersecurity, procurement, legal, and risk teams must adopt to stay ahead.

Key topics that will be covered:

Target Audience:

This session is designed for cybersecurity professionals, third-party risk managers, compliance officers, legal advisors, and anyone involved in vendor governance. Whether you’re just beginning to rethink your approach or are already facing AI-related challenges in your supply chain, this session will give you the context, tools, and next steps to future-proof your third-party risk strategy.