I've added a curated AI Resources page to the site. A mix of the general-purpose AI tools I actually use and the security angle I can't help bringing to everything.

The final post in the series. Where AI and security are heading, what it might mean for the profession, and how to think clearly about a future none of us can actually predict.

AI didn't create the security skills gap, but it reshaped it. Here's what practitioners actually need to know now, what they don't, and how to keep up without setting yourself on fire.

Some AI security capabilities don't sit cleanly on the attacker or defender side. Automated red teaming, prompt injection, AI attacking AI, poisoned models — the stuff that doesn't fit the tidy framing.

AI has made attackers faster and more capable. It's also given defenders some of the most useful tools we've had in years. Here's where it actually helps — and where the hype gets ahead of the reality.

AI has handed attackers a significant upgrade — better phishing, automated reconnaissance, polymorphic malware, and a dramatically lower skill floor. Here's what that actually looks like in practice.

AI is changing security faster than most of us can comfortably track. This is the start of a series where I try to think through what that actually means — honestly, practically, and without the hype.

AI is reshaping cybersecurity from both sides of the battle line — as a weapon in attackers' hands and a force multiplier for defenders. Here's what it means, why it matters, and how to not get left behind.

Albert Camus spent his career grappling with life's fundamental meaninglessness. He never worked in IT, but if he had, patch management would have finished him off.

A step-by-step guide to automating Ubuntu VM updates and Docker Compose container pulls in a self-hosted homelab using Gitea Actions, a Gitea runner, and Ansible playbooks.