AI capabilities have moved beyond single-model chatbots into an era of agentic AI and systems built to complete complex, real-world tasks. As agents require access to sensitive data and service to fulfill their tasks, new identity and access security approaches must be adopted to eliminate risks while empowering continued innovation.

AI capabilities have moved beyond single-model chatbots into an era of agentic AI and systems built to complete complex, real-world tasks. As agents require access to sensitive data and service to fulfill their tasks, new identity and access security approaches must be adopted to eliminate risks while empowering continued innovation.

In this live session, you'll see the following in action across AI systems:

• Granular access scoping — Prevent over-permissioned access to data at runtime with access specifically scoped to the task.
• Prompt-aware policies — Safeguard against sensitive data exposure through prompts.
• True just-in-time (JIT) ephemeral access — Grant access only upon request. Automatic revocation eliminates long-lived access and enforces Zero Standing Privileges (ZSP) by default.
• Comprehensive visibility and auditability — Stay audit-ready with full visibility across access requests and actions taken by agents in the environment.