Agents of Change: Practical Adoption Framework for Agentic AI in Security Operations
OVERVIEW
As AI evolves from theoretical potential to operational necessity, security teams face a critical inflection point in adopting agentic systems that can autonomously execute complex defensive workflows. This presentation unveils a field-tested framework for implementing agentic AI across incident response and OSINT functions – moving security operations beyond basic alert refinement to true defensive automation. Drawing from multiple deployments, I’ll demonstrate how security leaders can establish meaningful adoption metrics, implement proper oversight controls, and address the emerging challenge of “”AI identity sprawl”” as these digital deputies increasingly act on our behalf.
Unlike conceptual discussions of AI’s future, this session delivers actionable guidance for security teams to evaluate, implement, and govern AI agents based on organizational maturity and risk tolerance. Attendees will gain a systematic approach to defining autonomy boundaries, establishing acceptance criteria for both assisted and unassisted deployments, and measuring security outcomes – ultimately transforming how their teams detect, analyze, and respond to threats in an increasingly complex landscape.


