Agentic AI promises faster threat detection, response, and decision-making - but ungoverned autonomy introduces unacceptable risk in defense and cyber environments. In this session, we explore how industry is implementing agentic AI within accountable operational frameworks, where agents collaborate across tools yet remain constrained by policy, oversight, and audit. Attendees will learn how Workflows, case management, and agent interoperability patterns provide the missing control plane for deploying autonomous AI in high-stakes environments. The discussion focuses on practical governance models that ensure autonomous actions are explainable, repeatable, and aligned to mission outcomes - allowing organizations to scale AI safely without sacrificing operational trust. Rather than replacing human decision-making, agentic AI becomes a governed participant in enterprise operations, operating with clarity about responsibility, authority, and accountability.
Attendees will leave with a clear, practical framework for harnessing their own AI investments with the Pega platform - deploying agentic AI not as an unchecked force, but as a governed digital worker within the operational guardrails that defense and cyber missions require.