If an AI agent interacts with your intellectual property today, can you immediately identify the human who authorized it? Attempting to secure AI tools in isolation is a losing battle. To safely govern AI usage across endpoints, applications, and development platforms, security teams must bridge this accountability gap by tying every AI instance directly to a human owner using deep identity and data context.
Join SailPoint for a deep dive into how security practitioners can address this challenge as part of a comprehensive AI governance strategy. We'll explore the foundational steps required to safely scale AI in production by managing your entire identity ecosystem through a single pane of glass.
This session will cover:
- The Context Deficit: Why legacy security tools fall short by treating AI in isolation, and how applying human and data context is mandatory for actionable governance.
- Practical Discovery & Governance: A technical walkthrough of the lifecycle required to bring hidden AI into the light-uncovering agents and undocumented AI tool usage across your environment, and applying the policies needed to secure sensitive data.
- The Single Pane of Glass: The methodology for mapping newly discovered AI interactions directly back to accountable human owners, unifying human, machine, and AI identities into one central control plane.
- Frictionless Visibility: Architectural approaches for gaining immediate visibility into AI usage through lightweight deployment methods, bypassing the need for intrusive network changes or heavy infrastructure overhauls.
