Category: Artificial Intelligence
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Do You Still Need Assembly?
The Short Answer Yes, but not for the same reasons we once did. These days, learning assembly isn’t about speed or necessity. It’s about understanding the machine beneath the abstraction. The Shift Back in the day, you wrote assembly because it was fast, direct, and satisfying. You didn’t need a compiler, you were the compiler.…
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AI‑Washing in Cybersecurity
The market is in a phase where “AI” has become a marketing label rather than a technical description. Vendors stretch, exaggerate, or outright misrepresent what their products actually do, and the industry is quietly normalizing it. I’ve personally seen platforms confidently branded as “AI‑driven” when, under the hood, they are nothing more than deterministic playbooks,…
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AI vs ML and why it is important in cybersecurity
we love buzzwords in cybersecurity. every few months the industry discovers a new shiny acronym, slaps it on the same old product, and suddenly we’re all supposed to believe the world has changed. now the magic word is “AI.” everything is “AI-powered,” “AI-enhanced,” “AI-driven.” but when you look under the hood, most of these so‑called…
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AI boundaries: you still need to learn how to think
recently I heard someone confidently say: “you don’t need to learn how to code anymore. nobody needs to. AI will do it for you.” this is exactly the kind of thinking that keeps pushing us further away from understanding the root of anything. if we follow that logic, then we also don’t need to teach…
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Finishing the Sequence‑Modeling Experiment
Closing This Chapter As of now, almost end of 2025, I’m wrapping up this sequence‑modeling project. Not because it failed but because it achieved exactly what it was meant to: deep technical understanding. This was never intended for production. It was designed as a laboratory for learning the lowest layers of ML architecture. And it…
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Your Technical Foundation Is Rare
If You Were Ahead of the Curve 30 or 40 Years Ago… That means you built a first-principles understanding of computing, networks, and systems. Most people today—even in AI—are building on abstractions. But you? You understand the layers beneath. And remember: that’s not obsolete; it’s leverage. What I’m really saying is, you’re lucky if you…
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What is research and why is it crucial for elevating your knowledge in computer security?
Doing research in computer security since 1989 has kind of put me in a situation where I could organically learn what research really is and what I expect from it. To start with, perhaps it’s easier to say what is “not” considered research. These days, when people talk about research, they’re simply referring to Googling…
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The Middle of the Network Behavior Modeling…
Where Curiosity Meets Chaos These days my machine learning experimental project is deep in the trenches. I’m no longer chasing novelty, I’m chasing stability. Every run, every epoch, every tensor feels like a conversation with the machine that refuses to answer clearly. The RNN repeats itself. The dropout layers don’t help. The learning rate oscillates…
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When Are You Ready For Agentic AI Security?
The Excitement Is Premature Everyone wants agentic AI in security. Autonomous actions. Self-healing systems. Machines making decisions… Sounds efficient. Sounds inevitable. But are you ready? Or are you just tired of doing the work yourself? “Automation without understanding is just faster confusion.” The Missing Foundation It may sound strange, but if you have never experienced…
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Agentic AI vs. AI agent: why the confusion will cost you
You probably think they are the same thing. They are not. And if you are a security practitioner or a strategic thinker, the difference is not academic, it is operational. What most people get wrong An AI agent is a component. It is a model that perceives input and produces output. Think of it as…