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There’s a lot of noise right now about AI taking over jobs. Some of it’s hype, some of it’s fear, and a little of it’s reality. I get it — I’ve seen the same reactions inside cybersecurity teams, engineering orgs, and risk functions. When automation or AI tools start showing up in workflows, people naturally wonder what that means for their future. Here’s the truth: yes, some jobs will change or even disappear. But there’s also a massive opportunity for the folks who learn how to work with AI — not against it. The future isn’t about humans being replaced; it’s about humans being augmented. The people who understand that early will have the advantage. That’s what I mean when I say AI durable. It’s not about surviving AI — it’s about staying relevant because you’ve adapted, stayed curious, and found where the human still matters most. Step 1: Start…

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When Meta released its Agent Rule of Two framework, it clicked for me immediately.Not because it was revolutionary in concept — but because it gave language to something most of us have already been trying to do in practice: limit the blast radius of automation. If you’ve ever built bots, workflows, or automation jobs that can read data, act on it, and then go tell the world about it… you’ve probably felt that quiet sense of “hmm, maybe we gave this thing a little too much power.” That’s exactly what the Rule of Two addresses. It’s a straightforward principle for building or reviewing agents in a way that keeps you out of the “one bad input away from a data breach” category. The Core Idea The Agent Rule of Two says that an AI agent (or automation process) should never have all three of these abilities in a single session:…

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Don’t let GRC be just an audit checkbox. Here’s how treating GRC as continuous monitoring turns it into a decision-making engine that helps businesses manage risk and move faster.

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One of the hardest parts of explaining Governance, Risk, and Compliance (GRC) to people outside of security is that it can sound abstract. Controls, frameworks, risk registers… it’s a lot of jargon if you don’t live in this space.

So here’s a simple analogy I’ve been using: GRC is the speed limit sign before a sharp turn.

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Moving from reactive to proactive isn’t about flipping a switch. It’s about asking, “What could we do today that helps us avoid tomorrow’s fire?” And then carving out just enough time to do it.

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I often remind myself, “Don’t mistake motion for progress.” Just because you have data doesn’t mean it’s useful. Metrics should clearly highlight issues, enabling you to make proactive, informed decisions.

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Investing in cybersecurity training yields higher ROI than any tech stack. Learn why training matters, how to build a champion network, run phishing simulations, and measure success.

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Before chasing the next shiny cybersecurity tool, let’s get the basics right. From MFA and email hardening to open-source tools that punch above their weight—here’s how to build a solid foundation for your security program.

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Think of it like this: telling a kid not to run with scissors isn’t just a rule—it’s risk management. You’re not just saying “no” to be annoying. You’re identifying a risk (injury), a threat actor (a wild 6-year-old), and possible mitigations: walk carefully, use child-safe scissors, store them in a high drawer, maybe even add some blunt tip training wheels.

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This post walks through the foundational cybersecurity policies needed to operationalize your security program without overburdening the business. Learn how to create short, actionable, risk-based policies that reflect leadership intent, align with business capability, and drive real risk reduction—not just compliance. Includes free templates and guidance on policy governance.

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10/19