AI Security

AI models are getting alarmingly good at finding software vulnerabilities, pushing us toward a major inflection point. Let's talk about what this means for the future of tech and why we might need to change how we build everything.

Ever wonder how someone could sabotage an AI model? We walk you through a hands-on data poisoning attack, showing how flipping a few labels in a dataset can teach an AI to make specific, targeted mistakes.

AI agents with powerful tools are amazing, but how do you stop them from going rogue? We built an AI "fight club"—a system where agents test, attack, and judge each other to find security flaws before they become disasters.

Ever wonder how banks could team up to fight fraud without compromising your private data? We'll walk you through building a lightweight system from scratch using Federated Learning, PyTorch, and a little help from OpenAI.

Ever had a package arrive damaged? Scammers are now using shockingly realistic AI-generated photos and videos of broken goods to get fake refunds, and it's a bigger problem than you think.

Forget everything you thought you knew about data protection. We're breaking down tokenization—the simple, powerful method that secures your data while keeping it perfectly useful for AI and analytics.

Things just got very real at OpenAI. The AI giant reportedly locked down its San Francisco offices after an activist allegedly threatened physical harm to employees, a stark reminder that the heated online debates about AI's future are spilling into the real world.

YouTube has launched a new deepfake detector to help creators fight AI-generated impersonations. But in a world of rapidly evolving AI, is this new tool a real solution or just a speed bump in the digital arms race?

AI browsers promise to be your personal web assistant, but a massive security flaw means they could be taking orders from hackers. Let's break down the Comet disaster and what it means for the future of browsing.