Gears Don't Guess The Executive's Practical Guide to Thriving in the Face of AI Hype and Risk

Gears Don't Guess: The Executive's Practical Guide to Thriving in the Face of AI Hype and Risk
English | September 24, 2026 | ASIN: B0HKVG95NY | 344 pages | Epub | 744.79 KB
Right now you're doing one of two things with AI. Saying no to everything while your competitors pull ahead. Or saying yes and hoping nothing important breaks. Both are guesses."Most AI security advice today is just wishful thinking wrapped in a system prompt. Kip Boyle brings us back to reality." (Dr. Anton Chuvakin, Google Cloud Office of the CISO)"Board members will find Kip's book especially useful because it turns a technical topic into a risk-management discussion that helps us perform our job of oversight." (Dr. Keri Pearlson, MIT Sloan School)You've governed technology for years. Budgets, vendors, compliance, cybersecurity. You set the rules and walk away. AI feels different, and you probably can't say why. Here's why: it's the first system you've ever been handed that guesses back. The same question gets a different answer on Tuesday than it did Monday. And the answer often looks right even when it's wrong.This is a practical operating model for the leader who buys AI and answers for it, not the engineer who builds it. It's AI governance in plain English: no code, no promise that you can make AI perfectly safe, just the risk-based thinking you already use, pointed at a machine that guesses instead of calculates.Inside, you'll learn how to:Find the AI already in your stack that nobody approvedDecide what's allowed: acceptable use, data boundaries, and access tiersOwn AI risk and report it to your board without "committee theater"Roll out AI governance in your first 90 days, sized to your organizationRespond when AI breaks, and know what's different from a cyber incidentSecurity isn't the roadblock to AI adoption. It's what makes adoption safe enough to speed up. The companies that win won't be the ones that move fastest. They'll be the ones that govern AI well enough to keep going when something breaks.