Security researcher Kevin Beaumont got a call last week from a major US technology company that insisted it had nothing to worry about: all the credentials stolen in March's LiteLLM supply chain ...

The practice would align the United States more closely with countries like China and Russia, where spy agencies have long relied on private-sector hackers to help with national security missions. By ...

Hackers deployed an AI system to carry out sophisticated cyberattacks on Taiwan, officials said, in what experts believe is the first known fully autonomous attack on government agencies.

It sounds almost like an urban myth until it happens to someone you know: a car that "feels off" while driving turns out to have a python coiled around the engine, or a scooter parked outside a shop ...

MAESTRO analysis of OpenAI and Anthropic incidents reveals how per-layer failures, not just the model, shaped security outcomes.

That was the day OpenAI announced a new sort of bot, known as a “reasoning model,” that was trained to complete challenging tasks that took long periods of time—the very sorts of science, math, and ...

Hackers used open-source AI agents OpenClaw and Hermes to break into 85 government accounts and steal thousands of personal records in about four days.

Terabytes worth of credentials, many belonging to the world’s biggest and most sensitive organizations, have been exposed in a supply-chain attack on LiteLLM, an open source tool that streamlines ...

Irregular became the common link in AI security incidents involving OpenAI, Anthropic and Meta. Here’s what actually went wrong.

The March 2026 LiteLLM supply chain attack likely affected over 2,500 organizations and exposed over 430,000 CI/CD pipelines.

Malicious LiteLLM PyPI releases stole cloud and SSH keys, Kubernetes tokens, and other secrets, potentially exposing 2,500+ ...

Cyber, an "offense-grade" hacking model, days after pausing Astra for nearing "Critical" cyber capability. This seemingly contradictory move highlights that the dividing line is a rigorous vetting ...