Governance

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.

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

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

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.

Tencent’s ClawBot brings AI task execution into WeChat, intensifying competition in China’s fast-growing agent ecosystem.

Security models are no longer enough as multi-modal attacks overwhelm traditional controls, forcing a rethink of enterprise trust systems.

Project SnowWork introduces tooling to move AI from experimentation to execution, targeting enterprise-wide adoption and measurable ROI.

Google, PayPal, IBM, and beyond tackle AI governance, MCP security, and agentic risk — on demand via the AI-360 BrightTalk channel.

MEPs Strike a Deal, But Industry Says It's Not Enough

MCP is rapidly transforming how AI agents interact with enterprise systems, opening up a new class of supply chain, identity, and governance risks that security teams can’t ignore.

Microsoft adds detached operations and large AI model support to its Sovereign Cloud, enabling governance, productivity, and AI in closed environments.

Google DeepMind CEO warns that defensive systems must outpace AI-powered attack vectors as AGI approaches.

New scientific body aims to assess AI impacts, close knowledge gaps and address weaponization risks.