EP 1 — United States Air Force's Gabbi Nesburg On How Unfocused Defensive Strategies Just Get Worse With AI

Gabbi Nesburg spent years watching intelligence sit adjacent to defensive cyber operations instead of driving them. Through Task Force Mustang and a fellowship at Carnegie Mellon, she built a framework to change that, then turned it into an agentic AI system that compresses months of mission planning into a single day.

In the inaugural episode of The RAID Party, US Air Force Cyber Warfare Fellow at Carnegie Mellon University and CAIO at U.S. Cyber Command Gabbi Nesburg breaks down Aegis-4, a multi-agent system that chains threat context, priority intelligence requirements, and blue team gap analysis into an automated planning pipeline for cyber protection teams.

Topics discussed:

- Why threat equals capability plus intent, not capability alone

- Bridging the language gap between intelligence and cyber operations

- How Task Force Mustang connected intel to defensive cyber action

- Building Aegis-4's multi-agent planning system at Carnegie Mellon's SEI

- Compressing multi-month mission planning into a single day with AI

- Why unfocused AI adoption accelerates noise instead of defense

- Teaching operational planning as a universal problem-solving framework

Get in touch with Gabbi Nesburg:

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Get in touch with your host, Josh Shepard:

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