As AI Evolves, Necessary Coordination on Security Expands

This piece reports on Project Glasswing, an AI cybersecurity initiative led by Anthropic with national governments that has grown to include 150 organizations focused on securing AI systems.[5] It describes how the project aims to improve coordination on AI-related security, including defending against attacks on models and infrastructure and managing systemic risks as AI becomes more embedded in healthcare and other critical sectors.[5]

Report facts: The article describes Anthropic’s Project Glasswing, an AI-driven cybersecurity consortium now expanded to around 150 organizations and multiple countries, focused on securing critical software and AI systems as they become embedded in healthcare and other vital sectors.[2][9] The initiative uses the Claude Mythos Preview model to help partners find and fix vulnerabilities in foundational systems that represent a large portion of the global cyberattack surface, with substantial funding and coordinated information sharing to strengthen AI-related security.[2][6] RealGround analysis: For healthcare organizations increasingly reliant on AI models and infrastructure, this highlights rising systemic risk from model-targeted attacks, software vulnerabilities in clinical and operational systems, and the need for formal governance around AI use and incident response. A healthcare provider or vendor should conduct an AI Security Readiness Assessment to map where AI is embedded in clinical workflows and infrastructure, establish CISO-level advisory for AI risk ownership, formalize AI policies on model use, data handling, and vulnerability disclosure, and implement Continuous AI