
Thomas Richard chats with Michael Greenlaw, Founder & CEO, FedRock
The Cyber Security Recruiter PodcastShow Notes
Michael Greenlaw on AI, DevSecOps, and FedRAMP Automation: Speed, Risks, and the Need for Fundamentals
Tom and Michael discuss Microsoft’s strategy and licensing shifts pulling organizations toward Windows and Azure, and the frustration of incompatible cloud service naming across AWS/Azure/GCP. Michael describes using Claude to learn and build with LLMs rapidly, calling it “fast Google,” but warns about hallucinations, compounded errors in chained tasks, human limits in reviewing massive AI-generated code, poor handling of branching strategies, and the need for humans to own architecture and fundamentals.
They debate layoffs attributed to AI versus post-COVID overhiring and shareholder optics, and note AI’s growing impact on vulnerability discovery and exploitation.
Book recommendations: “How to Win Friends and Influence People” (Dale Carnegie), “The Trusted Advisor,” and “Thinking in Bets.”
00:00 Welcome and Intro 00:39 Career Path Update 01:25 Why Windows Again 05:41 Cloud Naming Frustrations 07:27 Keeping Up With Titles 09:12 AI Learning Acceleration 11:36 Curiosity in Hiring 15:39 Market Whiplash Era 19:11 FedRock and AI Experiments 22:19 Automating Workflows With RPA 24:31 AI Saving Lives Story 25:44 AI Pitfalls and Guardrails 31:09 Markets Overhyped AI 33:02 AI Errors And Whiplash 33:50 Why Juniors Still Matter 35:34 Overhiring Blamed On AI 38:11 Metrics Gaming And Talent 40:32 Shareholders And Productivity 42:28 AI Addiction And Frustration 47:08 Learning Boosts And Security Risks 51:58 Using AI With Responsibility 55:16 Scale Problems In Big Orgs 57:06 Books That Changed Everything 01:02:19 Closing Thanks And Wrap Up
Nexo - Executive, GTM & Cybersecurity Recruitment https://www.linkedin.com/in/thomaspropen/
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