When AI Guards the Network: What's Genuinely New in AI Cybersecurity? The night wind always has a different song here in Bengal. It rattles the windowpanes just enough to remind you it's there, even as the hum of the server rack in the corner provides its own steady drone. I was debugging a rather stubborn vulnerability in a client's e-commerce platform this evening, a subtle logic flaw that AI tools had flagged but couldn't quite pinpoint. It reminded me, as these things often do, of the constant dance between human intuition and algorithmic precision. There's a lot of chatter lately about AI updates, especially in my field. Every week, it seems, there's a new model, a new capability, a new fear. As a vairagi (one who practices detachment), I try to look at it all with a quiet mind, separating the genuine shifts from the marketing noise. What's genuinely new in AI cybersecurity right now? Not the incremental improvements, not the re-branding of old ideas...
The Evening Light, and a Bent Spoon It was late again last night. A client call had dragged, as they sometimes do, into the quiet hours after my wife had already gone to bed. I found myself in the kitchen, making a cup of chai, and my gaze fell on a spoon I’d accidentally bent earlier in the day. A small thing, really. But as I looked at its distorted curve, an idea surfaced, something I’d been pondering about the nature of shapes, and how we understand them. We often think of mathematics as precise, rigid. And much of it is. But there’s a branch, a beautifully liberating one, that sees the world with a different eye. It’s called topology . Imagine you have a rubber sheet. You can stretch it, twist it, even crumple it, but you can’t tear it or glue parts together. In topology, a coffee cup with a handle is, in a profound sense, the same as a donut. Both have one hole. A sphere? That’s just a squashed cube. No holes. No matter how much you deform them, as long as you don’t rip them, t...