Securing AI: Policies, Guardrails, and Real-World Risk Management

Updated Speaker Sean Applegate
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With over 25 years of experience across defense, federal, and commercial sectors, Sean Applegate brings deep expertise in cybersecurity, observability, AI/ML, and software engineering. Currently, Sean leads the Engineering and IT efforts for Swish which is a 20-year-old Federal Technology Solutions provider with deep technical experience in DoD and Civilian agencies. More recently, Sean has closely collaborated with clients and Swish Engineers to evaluate, implement, and optimize AI security capabilities to address rapidly changing market needs. Sean actively participates in GBEF, ATARC, ACT-IAC and AFCEA community working groups, which recently includes significant discussions on AI and AI security.

Talk Description

AI has rapidly evolved from standalone tools into core, agent-driven business workflows, while security has often struggled to keep pace. This talk explores how to identify and manage AI-specific risks and outlines practical guardrails that enable organizations to securely adopt AI systems without compromising data, compliance, or mission objectives.