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.
This segment is sponsored by ExtraHop Networks.
Visit https://securityweekly.com/extrahop to learn more about them!
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 Wu is the founder & CEO of Dropzone AI, creator of the world’s first autonomous AI SOC analyst that force-multiplies cybersecurity teams with armies of AI agents. Previously, Edward spent eight years at ExtraHop Networks, leading AI/ML and detection engineering and developing behavioral network attack detection. He also worked on automated binary analysis and software defenses at the University of Washington, Seattle, and UC Berkeley. Edward holds 30+ patents in applied AI for cybersecurity and is a contributor to the MITRE ATT&CK framework.
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