Campus Technology

Microsoft has disrupted EvilTokens, a cybercrime service that used AI to help attackers break into e-mail accounts, study their victims, and build convincing financial scams. The platform moved quickly. Since launching in February, EvilTokens had been tied to more than 12,000 compromised inboxes across over 10,000 organizations worldwide, according to Microsoft.

Okta has announced a new coalition bringing together major cloud, security, data and application vendors to create a shared architecture for securing AI agents across enterprise environments. The 12 founding members of the new Blueprint Alliance are AWS, CrowdStrike, Databricks, Docker, Google Cloud, Lovable, Okta, Proofpoint, Salesforce, ServiceNow, Wiz and Zscaler. GE Appliances and World Central Kitchen are participating as strategic advisors.

California Governor Gavin Newsom is proposing a new model of artificial intelligence regulation that would give independent organizations a formal role in evaluating the safety claims made by leading AI companies. The effort could eventually include placing outside evaluators inside frontier AI laboratories and requiring companies to maintain an independently tested emergency shutdown mechanism, commonly described as a "kill switch." Those requirements are not yet California law. Newsom's Sept.

Artificial intelligence is saving scientists substantial amounts of time, but researchers are giving some of those gains back by checking the technology's work, according to a new study involving Google, Google DeepMind, and MIT. The findings add a scientific-workflow dimension to a much broader debate over unreliable, misaligned, and increasingly autonomous AI systems — without establishing that the more dramatic forms of AI misbehavior are occurring in scientific research.

AI is changing which human capabilities matter most at work, yet employees are reporting that some of those same capabilities are being eroded, according to a new IBM study. Critical thinking, judgment and the ability to evaluate AI output sit at the center of that tension. The IBM Institute for Business Value study, "Designing the Thinking Organization," is based on two surveys conducted with Oxford Economics from April through June 2026.

The artificial intelligence industry is expected to generate an extraordinary $2.67 trillion in worldwide spending this year, according to a new forecast from Gartner. But relatively little of that money will be spent on the generative AI models dominating the industry's headlines. The much bigger business is everything required to make them run. Worldwide spending on AI infrastructure will reach nearly $1.5 trillion in 2026, accounting for about 56% of all AI spending.

Scientists are being encouraged to trust the computing power of artificial intelligence with some of their hardest problems. They give AI systems unpublished ideas, experimental approaches, half-finished proofs, code, and questions they may have spent years learning how to ask. An awkward fact is buried in that relationship: The AI belongs to somebody else.

In an active social engineering campaign, attackers are impersonating IT help desks and using fake passkey setup requests to compromise employee identities and gain access to enterprise cloud data. In a recent blog post, Microsoft Security Research said it has observed the activity since May 2026 across multiple compromised accounts.

The World Economic Forum's Future of Jobs Report 2025 asked more than 1,000 employers, representing 14 million workers, what stands between them and the transformation they are trying to execute. Sixty-three percent named the same thing, and it wasn't capital or technology. It was the skills gap. Specifically, not having their employees ready for the work the future will require. That number has been quoted in nearly every keynote I have heard this year.

Microsoft has published a draft code of conduct that details how its homegrown AI models should behave, with human control taking priority over model capability, autonomy, and even task completion. The Humanist AI Code of Conduct will eventually serve as the primary governing document for models developed by Microsoft AI, including the company's growing MAI model family. It covers model behavior, safety restrictions, instruction hierarchy, and the boundaries placed on autonomous actions.