ClearTech Loop: In the Know, On the Move

AI Security Needs Better Execution with Zach Lewis (CIO/CISO | Author, Locked Up)


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AI security is getting marketed like it requires a brand-new playbook—new frameworks, new job titles, new spend. 

In this episode of ClearTech Loop, Jo Peterson sits down with Zach Lewis (CIO/CISO and author of Locked Up) for a practical reset: AI doesn’t erase the fundamentals—it punishes you faster when you ignore them. Zach breaks down where GenAI is already helping security programs today (especially tabletop exercises and prioritization), what it actually takes to embed security and privacy into AI models without slowing innovation (data classification, access controls, segmentation, documentation, least privilege), and why adoption fails when leaders treat AI like a tool rollout instead of a behavior change. 

The takeaway is simple and actionable: get the foundations right, use AI to reduce friction where it matters, and build a culture where AI augments people rather than creating fear.  

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Key Quotes 

Strong AI security… starts with doing the basics well.” — Zach Lewis  

One of the best use cases I found for it was tabletop exercises.” — Zach Lewis  

You had a billion alerts… and you’re like, which one’s important?” — Jo Peterson  

Three Big Ideas from This Episode 

1) AI security is data discipline + access discipline 

Before you talk tools, talk foundations: classify data before it touches a model, segment critical workloads, gate access by role and sensitivity, document prompts/sources/model versions, and enforce least privilege with ongoing testing and validation.  

2) GenAI can make readiness more real (tabletop exercises) 

Instead of running the same scripted scenario every year, GenAI can generate realistic incidents, inject curveballs, and help teams identify missed actions—turning tabletops into a real maturity-building loop.  

3) Adoption is a leadership problem, not a platform problem 

AI initiatives stall when people are afraid or unsupported. Training, shared use cases, and visible wins (time saved, friction removed) create a safe environment where AI augments work rather than threatening it.  

📘 Zach’s book: Locked Up: Cybersecurity Threat Mitigation Lessons from a Real-World LockBit Ransomware Response   https://www.amazon.com/Locked-Cybersecurity-Mitigation-Real-World-Ransomware/dp/1394357044 

Resources Mentioned  

  • ClearTech Loop with Michael Machado AI Risk is Mostly Not New:https://www.buzzsprout.com/2248577/episodes/18535354-ai-risk-is-mostly-not-new-with-michael-machado   
  • Locked Up by Zach Lewis is available: https://www.amazon.com/Locked-Cybersecurity-Mitigation-Real-World-Ransomware/dp/1394357044 
  • NIST AI Risk Management Framework: https://www.nist.gov/itl/ai-risk-management-framework 
  • MITRE ATT&CK Framework: https://attack.mitre.org/    

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ClearTech Loop: In the Know, On the MoveBy ClearTech Research / Jo Peterson