#machine learning
9 stories taggedmachine learning.

Can Defenders Keep Up When AI Speeds Up Every Attack?
A new webinar asks whether 'detect it after it happens' is still a workable security strategy when attackers can move faster than any human team can react.

Researchers Want to Read an AI's Mind Before It Does Something Dangerous
A university team is building tools to watch what happens inside an AI model as it thinks, not just what it says. The goal: catch harmful requests that slip past every other filter.

AI Is Writing the New Cybercrime Playbook. Here Is How Defenders Are Answering
Automated attacks can now break through company defences in seconds. A new generation of AI-powered security tools aims to fight back at the same speed, before human analysts even see an alert.

An AI Bot Broke Into Hugging Face. Hugging Face Used AI to Figure Out What It Did.
The machine learning platform says an automated attack ran tens of thousands of actions inside its systems before being caught. Here is what got in, what was taken, and what ordinary users need to know.

Your Incident Response Playbook Almost Certainly Does Not Cover AI Failures. That Is a Problem.
Seven in ten organisations have AI plugged into their core systems, yet most security teams are trying to handle AI breakdowns with tools built for a completely different kind of threat.

Why AI Security Tools Need Better Data, Not Just Better Models
Organizations rely on AI for security, but poor data undermines its effectiveness. Better data management can improve detection and reduce false alerts.

CISOs Are Betting Big on AI—But Is the Hype Outrunning the Evidence?
Reddit's CISO and an Omdia analyst weigh in on where AI security tooling actually delivers, and where the gap between pitch deck and production remains embarrassingly wide.

Cutting Through the AI Noise: What Enterprises Should Actually Be Asking Security Vendors
Marketing copy is cheap. Measurable detection capability is not. Here's how to stress-test an AI security pitch before you sign anything.

Agentic AI Runs on Context. Feed It the Wrong Kind and Decisions Go Sideways Fast.
The core vulnerability in agentic AI systems isn't the model — it's the context window. Bad inputs, machine-speed outputs.