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How AI Changes Red Teaming

About this event

AI is reshaping red teaming from two angles: as a tool adversaries are using to operate faster and more systematically, and as a new class of high-value targets most programs aren't built to test. AI makes the fundamentals of red teaming more consequential, not less. Understanding that is what makes AI red teaming valuable.

Join SpecterOps VP of Services Russel Van Tuyl , VP of Tradecraft Andrew Chiles, and Senior Offensive Security Engineer Adam Chester for a practitioner-led discussion on how AI is reshaping what red teaming needs to evaluate. We'll cover what red teaming should measure, why assumed breach matters more in an AI-enabled threat environment, and the difference between measuring detection and response capability and building it. We'll also dig into what AI red teaming looks like when it goes beyond the model and across your entire environment: identity controls, attack paths, supporting infrastructure, and how far a compromised AI deployment can reach. We'll share how AI is changing how red teaming is delivered: the patterns we're seeing, some of our related research, and the tools our team has built and is actively using. Bring your questions for a Q&A session at the end.

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Hosted by

  • External speaker
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    Russel Van Tuyl Vice President of Services @ SpecterOps
  • External speaker
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    Andrew Chiles Vice President of Tradecraft @ SpecterOps
  • External speaker
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    Adam Chester Senior Offensive Security Engineer @ SpecterOps

SpecterOps

Know your adversary

SpecterOps provides adversary-focused cybersecurity solutions and training, enabling organizations to understand and defend against the tactics of threat actors through tradecraft analysis and attack path management.