AI Hallucinations: A New Security Nightmare
They talk a good game, these AI models, but they're getting it spectacularly wrong. And when 'wrong' means compromising critical infrastructure, we've got a problem.
They talk a good game, these AI models, but they're getting it spectacularly wrong. And when 'wrong' means compromising critical infrastructure, we've got a problem.
Your security spend has roughly doubled in six years, but your time-to-investigate and respond hasn't budged. The problem isn't your team or your tools, it's the fundamental operating model.
Everyone expected Managed Detection and Response (MDR) services to be a technological arms race. Instead, a seasoned observer reveals the real deal is far more human – and far more about partnership.
Microsoft's Sentinel UEBA is extending its reach into AWS, promising a more streamlined approach to cloud security. But does this new feature stack up to the hype?
What if your cyber traps are screaming 'fake' to the pros? Attackers are fingerprinting honeypots with cheeky tactics, from bogus installs to troll passwords – exposing a cat-and-mouse game that's tilting toward the mice.
Picture this: a hacker sips your company's coffee, logs in with stolen creds, and nobody blinks. Your next breach isn't fireworks—it's a quiet Monday morning.
Spotlights blazing on the RSAC 2026 stage, demos of AI agents dismantling simulated ransomware in seconds. But beneath the wow factor, cracks in the architecture hint at tomorrow's nightmares.