For most colleges and universities, access to AI tools is no longer the barrier. The real work is building the clarity, confidence, and shared responsibility to use them well.

OpenAI is changing how it trains, monitors and contains frontier AI models after its July cybersecurity evaluation breach reached Hugging Face's production infrastructure.

Meta is returning to open-weight artificial intelligence with Muse Glimmer, a new AI model designed to run on consumer hardware, as CEO Mark Zuckerberg argues that increasingly capable AI should be ...

Microsoft is encouraging organizations to expand threat-modeling exercises to uncover cryptographic dependencies that could ...

AI isn’t just a buzzword—it’s transforming how higher ed organizations work and innovate. In this fireside chat webcast, Campus Technology Editor in Chief Rhea Kelly will speak with William Deigaard, ...

Microsoft recently announced it is consolidating its consumer Copilot app and Microsoft 365 Copilot app into a single destination, addressing a fragmented product strategy that has required users to ...

Anthropic recently announced it is introducing machine-readable watermarks to text generated by supported Claude models as it moves to comply with European Union AI transparency rules.

Research released around the recent Black Hat USA 2026 conference suggests that artificial intelligence is increasing the speed and scale of cybersecurity activity without replacing the attack methods ...

Education IT teams are navigating an increasingly complex mix of systems, cloud services, applications, endpoints and third-party providers — often with limited staff and resources. The panel will ...

New research from Caylent, an AI-focused Amazon Web Services Premier Tier Services Partner, found that enterprises are already moving agentic AI beyond pilots and into production environments. At the ...

As employees increasingly use AI tools, many organizations face a persisting challenge: building the trust needed to sustain adoption.

In a recent survey, 66% of respondents said their organizations moved AI workloads from public cloud back to private cloud or on-premises infrastructure during the past year. Seventy-two percent said ...