The Accountability Gap: Why Role-Based Thinking Fails in a Non-Human Workforce

You can assign roles and groups. You can’t see what people actually do with them—or what AI agents do with them. That visibility gap is where compliance risk and operational blind spots hide. In this webinar, Tarun Thakur (ServiceNow) and Nick Krieble (InterContinental Hotels Group) walk through how organizations are moving from role-based thinking to permission-based reality: understanding effective access, establishing clear ownership of AI identities, and maintaining continuous visibility as your workforce becomes increasingly non-human. Learn the framework for keeping least-privilege controls tight while accelerating AI adoption, and how to measure and reduce blast radius in real time.

Key Takeaways:
• Effective access reveals permissions hidden by assigned roles and groups.
• Accountability for AI agents requires mapping them to human owners before they hit production.
• Blast radius shrinks when you can see what non-human identities can actually do, not just what they’re supposed to do.
• Least-privilege governance doesn’t slow AI adoption; it enables it with guardrails built in from day one.