Autonomous AI agents are no longer operating in isolation. As ecosystems built on MCP, A2A, and similar agent protocols enable agents to collaborate across tools, services, and organizational boundaries, traditional IAM models are starting to show their limits. Identity and access control alone cannot answer questions around accountability, traceability, delegated decision-making, or responsibility when autonomous systems interact with each other at scale.
This session explores the emerging accountability gap in modern agent architectures and examines what governance needs to look like once agents gain autonomy, interoperability, and the ability to trigger actions across multiple systems. We will discuss practical challenges around auditability, trust boundaries, policy enforcement, and operational oversight in production-grade AI environments, along with architectural approaches for building accountability layers that extend beyond conventional IAM.
Drew Wilkins is CEO and co-founder of Bindable AI LLC, where he focuses on lifecycle accountability frameworks for autonomous AI agents operating in high-stakes environments. Previously, Drew held senior leadership roles at major advertising and digital experience firms, helping organizations navigate the intersection of technology, customer experience, and organizational change. His career has centered on technology shaping human experience, translating complex technologies into trusted, meaningful systems. Drew has pursued formal AI study through programs at Massachusetts Institute of Technology and Stanford University, and one of his ventures received a U.S. Coast Guard innovation award for applied AI innovation. He holds an MBA from Emory University and a BA in Philosophy from Emory College.
Syed Abbas is a Senior Business and Integration Architect who specializes in simplifying complex technology. He brings 20 years of experience as a Solutions and Data Architect, including 16 years delivering large-scale enterprise programs across the automotive, pharmaceutical, biomedical, and manufacturing sectors. Syed’s background spans SAP and enterprise integration platforms, identity protocols, and large-scale data architecture, now applied to production-grade AI agents and AI security research. He holds a B.S. in Computer Science.
