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Cybersecurity has become a tool driven industry. Organizations buy platforms, stack controls, generate alerts, and ask humans to stitch it all together under pressure. In this episode of ClearTech Loop, Jo Peterson sits down with Ryan Lutz to explore what changes when AI becomes part of the security workflow. Not as another console, but as an adaptive capability that helps teams interpret signals faster, prioritize more intelligently, and respond with more consistency when the volume is too high for humans to manage alone. In this conversation, we cover: Why the SOC is the best initial use case for AI augmentation, how leaders should think about the inherent exposure that comes with more AI and more code, and why Ryan’s research on AI malware matters for building adaptive defensive responses. 🔔 Subscribe for more ClearTech Loop conversations 🎧 Listen on Buzzsprout: ADD LINK 📰 Subscribe to the ClearTech Loop Newsletter on LinkedIn: / 7346174860760416256 Chapters / Timestamps (edit to match final cut) 00:00 Intro 00:45 Why cybersecurity became tool-driven 02:05 What “adaptive AI defense” actually means 03:30 Why the SOC is the best place to start 06:10 Governance that guides adoption without killing innovation 08:20 AI malware research and what it means for IDS/IPS 10:10 Closing thoughts Key Links MITRE ATT&CK Framework https://attack.mitre.org/ NIST Cybersecurity Framework (CSF) https://www.nist.gov/cyberframework ClearTech Loop AI Only Works If Your Foundations Do: A Conversation with Dr. Anton Chuvakin https://www.buzzsprout.com/2248577/ep...