SEC536: Adversarial AI - Penetration Testing AI Systems


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A finance team receives a message from a trusted vendor. The domain checks out. The tone is right. The payment details have shifted slightly, but that happens. By the time anyone notices, six figures are gone, yet every control on the stack technically “worked as designed.”
This is what modern email fraud looks like in financial services. Advanced email attacks against financial institutions are up 25% year over year, and the most damaging ones don’t carry malware, don’t trip traditional rules, and don’t look like threats at all. They look like business as usual, crafted with enough precision to fool people and legacy tools alike.
Join this session for an unscripted conversation about the state of security in financial services: the methods and sophistication of modern attacks, where traditional email defenses fall short, and what it takes to build an email security program that can move at attacker speed. No slides or demos, just practical insights from leaders who see these attacks every day.


Kevin Garvey brings incident response, vulnerability management, threat intelligence, SOC, and leadership experience to SANS training, helping students connect security management concepts to real decisions teams and businesses need them to make.
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Mick Leach is Field CISO of Abnormal Security, an AI-native email security company that uses behavioral AI to prevent business email compromise, vendor fraud, and other socially-engineered attacks.
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Manuel leads Greylock’s technology team which focuses on all IT strategic and operational aspects of the firm.
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