Artificial intelligence is a double-edged sword when it comes to cybersecurity. It is giving defenders new ways to sift through vast amounts of telemetry, identify anomalous behavior and automate routine work. But it is also giving attackers the ability to discover vulnerabilities faster, build more convincing social engineering campaigns, and execute multistage intrusions at a scale that would have required large, well-resourced teams only a few years ago.
Just prior to last month’s British Open, Cisco Systems Inc. announced a multiyear partnership with The R&A, a worldwide golf governing body. While there are many tech vendor–sports league marketing partnerships, this is much more than that. Cisco and The R&A are entering into a strategic infrastructure deal that should attract the attention of any IT executive looking to modernize operations across complex, distributed environments.
Advanced Micro Devices Inc.’s Advancing AI 2026 keynote this week was Chief Executive Lisa Su’s bid to redefine the company from a “graphics processing unit alternative” to a full-stack artificial intelligence infrastructure vendor and to make this the year the central processing unit officially rebounds as a first-class AI platform. The message from Su was ambitious and often compelling, but it also sharpened the competitive contrast with Nvidia Corp. and Intel Corp., raising as many questions as it answered.
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.