Enterprise AI

OpenAI enforces macOS app updates and replaces signing credentials after identifying exposure in its GitHub-based build pipeline.

New agreement centers on AI safety, applying Claude to genomics, education, and workforce development across leading institutions.

Cycode’s Top AI Security Vulnerabilities to Watch out for in 2026 report outlines rising risks across prompt injection, data exposure, and AI supply chains.

New Muse Spark model upgrades Meta AI with multimodal input and parallel agents, and is expected to integrate across key Meta platforms such as WhatsApp, Instagram, and Facebook.

Project Glasswing brings AWS, Apple, Google, Microsoft, NVIDIA, and other key players together to address growing vulnerabilities in critical software systems.

New IBM–Arm initiative focuses on virtualization and interoperability to support AI workloads across mixed-architecture enterprise environments.

Partnership commits to a decade-long effort to advance hybrid algorithms critical for scaling AI and quantum computing.

Expanded Texas facility reflects rising need for dedicated AI infrastructure, with capacity and long-term compute implications.

Google security team members Priya Pandey, Aron Eidelman, and Leonid Yankulin explain why probabilistic AI is breaking traditional DevSecOps, and how runtime security and safer observability must evolve to keep sensitive data out of your logs.

New disclosures emphasize compute scale, pricing pressure, and reliability as enterprise AI adoption accelerates.

Intel’s buyback of full ownership of its Ireland fabrication facility underscores a strategic bet to secure CPU manufacturing capacity in the ‘era of AI.’

New platform focuses on runtime enforcement, auditability, and risk scoring for AI agents operating in regulated enterprise environments.

Despite $29M annual data budgets, most enterprises struggle with pipeline reliability, downtime, and delayed AI outcomes.

The Pentagon’s blacklisting of Anthropic over AI weapons and surveillance restrictions exposes a new class of governance risks for enterprise AI — and reveals how differently America’s leading AI companies view their obligations to the state.

Microsoft deepens its nuclear AI push with NVIDIA partnership, combining Azure cloud and NVIDIA GPU infrastructure to power advanced operations.