
Production-Ready SASE for Agentic AI: Critical Capabilities for Securing Autonomous Work
Moving AI agents from pilots into production requires a new approach. Unlike traditional users, agents can generate high-volume machine traffic, invoke tools and APIs, access private resources, and take actions at software speed. That creates new demands for performance, policy, visibility, and resilience across the network.
Join us to learn what decision makers should look for in a production-ready SASE architecture for agentic AI. We’ll examine three critical priorities: ensuring agentic work performs reliably across distributed environments, authorizing trusted actions with identity and risk context, and strengthening the edge and WAN foundation without disrupting mission-critical operations.
You’ll learn:
- How AI agents create new SASE requirements for performance, visibility, policy, and resilience as they move from pilots into production.
- How to evaluate whether agent traffic can be identified, steered, and optimized across distributed workflows.
- How identity, risk context, and secure connectivity help authorize trusted agent actions while protecting private resources, APIs, and mission-critical infrastructure.
Date and Times:
- September 29th at 3PM AEST
- September 29th at 10AM BST
- September 29th at 11AM PDT / 2PM EDT
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