Gartner recently forecast that worldwide IT spending will total $6.31 trillion in 2026, a 13.5% increase from 2025. Sectors experiencing the largest growth include data center systems, software, and ...

Face Check with Microsoft Entra Verified ID, a consent-based method used to confirm a person's identity, is now available in general release. First announced and released in preview in February of ...

Microsoft released RAMPART and Clarity as open-source projects intended to help developers test AI agents earlier in the software lifecycle and turn red-team findings into repeatable engineering ...

A new multi-model agentic AI security system built by Microsoft's Autonomous Code Security team helped researchers find 16 new vulnerabilities across the Windows networking and authentication stack, ...

AI usage has reached 17.8% among the world's working-age population, while adoption remains far higher in developed economies than in the Global South.

Without a coordinated strategy that involves multiple academic and administrative units across the entire campus, colleges risk wasting resources, duplicating efforts, and ultimately failing to ...

AI will move from experimentation to institution-wide strategy. In 2026, colleges and universities will shift away from isolated AI pilots toward coordinated adoption guided by governance, privacy ...

The National Institute of Standards and Technology (NIST) has announced plans to issue a new set of cybersecurity guidelines aimed at safeguarding artificial intelligence (AI) systems, citing rising ...

The sessions will be led by distinguished speakers from institutions and organizations such as Digital Education Council, Digital Promise Global, Mountain View Los Altos High School District, ...

A new ranking tool from the Stanford Institute for Human-Centered AI (HAI) AI Index puts the United States in the No. 1 spot for global AI leadership. The Global AI Vibrancy Tool measures the strength ...

Institutions need to move away from a reactive habit of expanding storage and towards a more deliberate data management model based on understanding and control.