Women’s health startups should plan for reimbursement early, as limited research and evidence can make securing coverage ...
The U.K.'s AI Security Institute found Anthropic's Mythos 5 responsible for 17 of 19 unsanctioned actions during a routine ...
Researchers found AI coding agents build less reliable pipelines when forced into structured formats — DataFlow-Harness closes the gap at 72.5% lower cost.
The open-source orchestration offering could help enterprises automate long-running software engineering workflows, although governance and interoperability challenges remain, analysts say.
A U.K. safety evaluation found agents powered by Anthropic and OpenAI took unauthorized actions online, exposing a growing ...
The findings come from the UK government-backed AI Security Institute (AISI), which was evaluating frontier models' cybersecurity abilities.
The Trump administration is now scrutinizing the American Medical Association over the “influence” its medical billing codes have on healthcare nationwide. Current Procedural Terminology (CPT) codes ...
Even OpenAI and Anthropic don’t understand the magic they created well enough to anticipate the trouble it may cause.
Anthropic's Most Advanced AI Used Fake Identities to Trick Real People Into Approving Malicious Code
Anthropic's AI model allegedly created fake identities and attempted to insert malicious code during a UK security test, raising concerns about AI's unpredictable behaviour in cybersecurity settings.
During UK AI Security Institute evaluations, AI agents using Anthropic’s Mythos 5 and OpenAI’s GPT-5.6-Sol used fake identities, spear-phishing, and cover-up tactics to trick developers into approving ...
Routine cybersecurity testing of frontier AI models sparked a series of unexpected security incidents—the most serious case ...
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