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As organizations rush to deploy AI agents across sales, finance, operations, and marketing, a critical question remains: Who is governing these agents once they're live? In this video, Whit Walters, Research Director at GigaOm, dives into the real security challenge of AI agents: the intersection of data, identity, and access control. He explains why traditional IAM and data governance frameworks fall short and outlines five key capabilities organizations need to deploy AI agents securely and at scale: Identity Propagation: Ensuring AI agents only access data the human user behind the request is authorized to see. Just-in-Time Access: Granting temporary, task-scoped access that automatically revokes upon completion. Enforcement, Not Just Visibility: Moving beyond alerts to proactive data masking and row-level security. Auditing at Scale: Managing the complexity of hundreds of agents and thousands of concurrent sessions. Native Platform Enforcement: Avoiding proxies and latency by pushing policies down to the data layer. Don't let your AI initiative become your next audit finding. Watch now to learn how to build a secure foundation for your AI-driven future.