Demystifying AI/ML for Cybersecurity – Edward Wu, Ted Driggs – ESW #200
As attackers grow increasingly sophisticated, artificial intelligence (AI) and machine learning (ML) applications in cybersecurity are no longer a “nice to have.” But after years of being tossed around as a buzzword, it’s time to demystify AI/ML to expose how far the technologies have come and how they can keep your business secure if leveraged correctly. We discuss what the terms mean, why they’re critical for cybersecurity, and how/when to apply different types of AI/ML (including supervised, unsupervised, and deep learning) appropriately.
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Ted Driggs is the Head of Product at ExtraHop. He is passionate about building security solutions that give defenders the upper hand. Before ExtraHop, Ted was a PM for Windows at Microsoft. He is regular on tech and security podcasts, including Risky Business, Security Weekly, and DM Radio. In his free time, you can expect to find Ted on the side of a mountain––zipping through powder or hiking up rocks.
Edward is an AI/ML tech leader and has built and commercialized cutting-edge AI products end-to-end from scratch. He is also an expert in applied AI/ML for cybersecurity and next-gen cyber defense, including behavioral attack detection, automated security operation, network/application monitoring, and cloud workload security. Edward holds over 30 patents in ML and cybersecurity and is a contributor to the MITRE ATT&CK framework. He previously worked on attack detection using wire data at ExtraHop Networks, and automated binary analysis and software defenses at University of Washington Seattle and UC Berkeley.
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