In healthcare, patient trust often begins at the frontline with people who deliver care, respond to questions, and manage crucial in-the-moment decisions. Increasingly, those experiences are shaped by the tools frontline workers use. When devices are secure, responsive, and tailored to clinical workflows, they enable faster, more informed,[…]

We are releasing a taxonomy of failure modes in AI agents to help security professionals and machine learning engineers think through how AI systems can fail and design them with safety and security in mind. The taxonomy continues Microsoft AI Red Team’s work to lead the creation of[…]

The dynamic nature of containers can make it challenging for security teams to detect runtime anomalies or pinpoint the source of a security incident, presenting an opportunity for attackers to stay undetected. Microsoft Threat Intelligence has observed threat actors taking advantage of unsecured workload identities to gain access[…]