In almost any other industry, “our product broke into another company’s systems” is the kind of incident an organization would work hard to keep quiet. Yet as AI races ahead its security failures become regular headlines, companies now explain unplanned AI activity in carefully drafted blog posts. That growing sense of routine should be a red flag for business leaders. As AI models grow more capable, more autonomous, and more deeply integrated into enterprise operations, disclosure has become… [...]
Amazon Web Services is threading its AI-powered security infrastructure directly into the coding environments built by two of its fiercest rivals — and in doing so, it is making a bold bet that cont [...]
OpenAI researchers have introduced a novel method that acts as a "truth serum" for large language models (LLMs), compelling them to self-report their own misbehavior, hallucinations and poli [...]
A 27-year-old bug sat inside OpenBSD’s TCP stack while auditors reviewed the code, fuzzers ran against it, and the operating system earned its reputation as one of the most security-hardened platfor [...]
Endor Labs, the application security startup backed by more than $208 million in venture funding, today launched AURI, a platform that embeds real-time security intelligence directly into the AI codin [...]
Decision makers at 72% of organizations claim to have two or more AI platforms that they identify as their "primary" layer, according to a survey of 40 enterprise companies conducted by Vent [...]
Microsoft today announced the general availability of Agent 365 and Microsoft 365 Enterprise 7, two products designed to bring security and governance to the rapidly growing population of AI agents op [...]