As enterprises rapidly adopt artificial intelligence-powered platforms, copilots and agentic ecosystems, third-party risk management is becoming significantly more complex and difficult to govern. Organizations are increasingly exposed to invisible supply chain risks driven by SaaS dependencies, prompt-based attacks, AI integrations and interconnected vendor ecosystems that expand the attack surface beyond traditional security controls. With AI systems operating through autonomous agents, context protocols and cross-platform API calls, enterprises must strengthen governance frameworks, privilege controls and oversight mechanisms to prevent lateral movement, unauthorized access and large-scale compromise across digital ecosystems.

In this session, you will learn:

• How to identify emerging third-party and invisible supply chain risks in AI-driven enterprise environments;
• How to address prompt injection attacks, AI privilege escalation and lateral movement risks across interconnected systems;
• How to build governance models, guardrails and autonomy controls for secure AI adoption and vendor risk management.