Agentic artificial intelligence (AI) systems —autonomous tools that make decisions, take actions, and interact across digital ecosystems— are rapidly entering enterprise supply chains. While they offer efficiency and scalability, they also create new categories of vendor risk: opaque decision-making, unpredictable behaviors, regulatory uncertainty, and amplified third-party dependencies. For security, risk, and compliance leaders, these dynamics extend beyond traditional vendor assessments and demand new approaches to oversight.

In this workshop we'll go over practical strategies for reducing risk exposure from agentic AI vendors, including enhanced due diligence, real-time monitoring, contractual safeguards, and cross-functional governance models. By adapting third-party risk management frameworks to the unique challenges of agentic AI, organizations can reduce exposure, maintain compliance, and build resilience —without slowing innovation.