Google’s threat hunters have flagged a troubling milestone: the first known instance of a zero-day exploit likely discovered and weaponized using an artificial intelligence model. What began as an obscure Python script has been linked to a coordinated effort by cybercriminals to develop a two-factor authentication (2FA) bypass that could be scaled for mass exploitation. The disclosure underscores how AI
Tag: AI
Scaling Cloud and AI: How Microsoft Azure Is Powering Europe’s Digital Future
Cloud and AI demand in Europe is surging, and Microsoft Azure is expanding its regional footprint and services to meet that need. From public-sector productivity tools to industrial AI deployments, organizations across the continent are moving critical workloads to cloud platforms that can deliver performance, compliance, and the operational control required by local regulators. This piece synthesizes Microsoft’s recent commitments
AI for Nuclear Energy — Powering an Intelligent, Resilient Future
The world’s surge in power demand is colliding with an energy infrastructure that was largely designed for an analog age. Meeting that demand with clean, reliable power requires more than ambition; it requires faster, repeatable delivery of complex projects. Nuclear energy is central to that future, but development timelines, fragmented data, and heavy regulatory processes create persistent bottlenecks. Artificial intelligence,
AI as Tradecraft: How Threat Actors Operationalize Artificial Intelligence
Organizations are facing a subtle but powerful shift: adversaries are not inventing wholly new attacks so much as adopting artificial intelligence to make existing tradecraft faster, cheaper, and more resilient. Microsoft’s threat intelligence and other industry observers show that generative AI is being embedded across the attack lifecycle to accelerate reconnaissance, scale social engineering, and shorten the time between detection
OpenAI’s GPT-5.4 Mini and Nano: Speed-First Models for Real-Time Workflows
OpenAI’s latest release—GPT-5.4 Mini and GPT-5.4 Nano—marks a clear shift in focus from sheer size to practical responsiveness. These smaller variants are engineered to deliver answers far faster than their flagship counterparts while still preserving strong reasoning, coding, and multimodal skills. For teams building latency-sensitive applications—interactive coding assistants, real-time UI automation, and high-throughput data pipelines—these models promise a meaningful performance-per-cost