SEC536: Adversarial AI - Penetration Testing AI Systems


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Phil is VP of Cyber Defense Strategy at Gem Security, the Cloud Detection & Response (CDR) company. Prior to Gem, he held executive roles at innovative startups like CardinalOps, CyberX, Veracode, and Guardium as well as at larger organizations like Microsoft Security, IBM Security, and Symantec. Phil has a BSEE from McGill University, is certified in cloud security (CCSK), and has a black belt in American Jiu-Jitsu.
Speaker / Contributor: This individual participates in SANS events, presentations, written content, or other community resources as an external contributor. They are not a SANS employee, instructor, or affiliate.
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Adversaries are increasingly targeting multi-cloud infrastructures to disrupt operations and demand ransomware, exfiltrate sensitive data, and steal funds.

Does centralizing log data still make sense, or should we be thinking about decentralized approaches such as federated data storage or distributed data storage, leveraging security data lakes and other repositories?

Detecting attacks in their earliest stages—before they impact your business—is a key element of an effective threat detection and incident response (TDIR) strategy.
