Making Agentic AI Work For Your Mission — And Keeping It Under Control

Agentic AI is moving rapidly from experimentation to execution, faster than most government agencies can adapt. Systems are capable of increasing autonomy, yet current architectures, controls, and governance models were not designed for AI that can act, decide, and escalate on its own. For technology, data/AI, and security leaders, the challenge is no longer whether to adopt agentic AI but how to make it successful, demonstrate measurable value, and deliver mission impact — without losing visibility, control, or trust as autonomy increases.

This in-person event brings together senior technology, security, and data/AI leaders to explore how increasing autonomy reshapes decision flows, introduces new risks, and requires clear guardrails. Using Forrester’s latest research and the AEGIS framework, participants will review practical challenges across strategy, deployment, control, and security extending on foundational elements of Zero Trust principles and architecture; exchange approaches in a trusted peer setting; and leave with clear next steps for scaling agentic AI responsibly and with confidence.

Key Takeaways

• Understand how agentic AI reshapes enterprise architecture, operating models, and risk — and how moving beyond efficiency use cases unlocks broader, topline business benefits.
• Learn from your peers about real world approaches, tradeoffs, and lessons.
• Address the practical challenges of strategy, deployment, control, and security through structured discussions and guided exercises.
• Apply the AEGIS framework to strengthen governance and Zero Trust security and evaluate whether your data quality and integration are ready to support agentic AI.
• Leave with clear, actionable next steps to scale agentic AI confidently as autonomy increases.

Seats Are Limited — RSVP Today!