By extending Security Hub to Microsoft Azure and adding artificial intelligence-specific protections, Amazon Web Services Inc. is positioning its security stack as the foundation for securing enterprise AI at scale. Amazon Web Services’ latest Security Hub updates announced earlier this month acknowledge two realities its customers already live with every day: AI is now the fastest-growing attack surface in the enterprise, and almost every serious AI initiative is, or soon will be, multicloud.
On the surface, this week’s Vera Rubin launch is another major platform moment for Nvidia Corp., as the company maintains a steady drumbeat of artificial intelligence infrastructure innovation. Nvidia is positioning Vera Rubin as a full-stack system designed to improve performance per watt and reduce token costs, with production ramping across a broad global partner base, including cloud and AI infrastructure providers.
Neocloud provider QumulusAI said today that it will starting trading Thursday as a publicly traded company on Nasdaq under the ticker symbol QMLS via a direct listing. For those unfamiliar with the process, the typical initial public offering takes time and requires an investment banker, whereas a direct listing does not create new shares. Instead, existing shareholders sell their shares to the public without an underwriter.
Couchbase Inc. is trying to solve one of the hardest problems in enterprise artificial intelligence today: turning brittle, chat-style pilots into production-grade agents capable of remembering, reasoning and acting on live operational data. With the launch of its AI Data Plane, the company is betting that the real bottleneck for “agentic” AI isn’t the model — it’s the underlying data architecture.
Artificial intelligence played a prominent role at this week’s Bio International Convention in San Diego, the largest biotech event with vendors spanning the full ecosystem of companies in this industry. Today in a special address, Kimberly Powell (pictured), vice president and general manager of healthcare and life sciences at Nvidia Corp., made the case that agentic AI is about to do for biotech what it just did for software — and the company’s BioNeMo is the stack that turns generic large language models into working “AI scientists” that are both faster and cheaper to run.