I work somewhere between cybersecurity, third-party risk management, cloud security, and AI governance. On paper, that sounds like an elite task force. In reality, some days I’m reviewing vendor controls, and other days I’m unclogging the digital equivalent of a sink. It keeps me humble.
Most of my week is spent trying to figure out which tools actually work, which tools almost work if you close one eye, and which tools need to be surrounded by caution tape. Now a days the process usually involves questioning why every product claims to be “AI-powered” even when it clearly doesn’t need to be.
I started writing because I wanted to keep up with the nonstop AI chatter. Then I realized most of that chatter comes in two flavors:
- wildly technical, or
- confidently meh.
Somewhere in between, you get the genre of “AI will fix everything” versus “AI will break everything,” with a rotating cast of dramatic headlines. It’s entertaining, but not useful.
I prefer a simpler approach: technology should be explainable without smoke machines. IT is mostly logic, boundaries, and the occasional if/else statement that ruins your weekend deciding whether the else’s fall within the acceptable risk tolerance.
AI isn’t the first overhyped era of tech, and it won’t be the last. Just look at the greatest hits:
- Mainframes: computers so big you needed a badge and a security clearance to approach them.
- PCs: suddenly everyone became an “IT expert” because they installed a printer.
- GUIs: the era when double-clicking was considered a skill.
- The Internet: half of the dot-coms didn’t survive dial-up speeds.
- Web 2.0: a time when everyone believed the comment section was a good idea.
- Mobile: the rise of “there’s an app for that,” including things that never needed an app.
- Cloud: rent your infrastructure monthly and pray the bill makes sense.
- Big Data / Blockchain: both promised to fix everything; neither did.
- Generative AI: now everyone has an opinion, even the people copying and pasting ChatGPT outputs into their opinions.
Different buzzwords, same pattern.
So here, I write about AI regulation, cybersecurity trends, and whatever signals suggest where things might actually be heading. Expect a skeptical tone, reasonable opinions, and occasional bird photography. Birds, by the way, have mastered the art of staring at you like you’re the one intruding on their workflow.
This space is for clear, honest thinking about IT, AI, and governance, without theatrics, marketing seasoning, or unnecessary acronyms. If you’re here to learn, question, disagree, or just quietly judge the industry with me, you’re in the right place.
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