Project Glasswing unites tech firms for AI-driven cyber defence
By integrating AI into cybersecurity workflows, partners seek to improve resilience against increasingly sophisticated cyber threats.
Major technology and security companies have joined forces under Project Glasswing to defend critical software infrastructure using advanced AI. The initiative brings together organisations including AWS, Apple, Google, Microsoft, NVIDIA, Cisco, CrowdStrike, JPMorganChase and the Linux Foundation.
Anthropic is deploying its frontier model, Claude Mythos Preview, at the centre of the effort. The system detects complex software vulnerabilities at scale, uncovering thousands of previously unknown flaws across operating systems, browsers, and core infrastructure.
The model’s findings suggest a major shift in cybersecurity capabilities. AI systems are increasingly capable of matching or surpassing human expert performance in vulnerability discovery, raising both defensive opportunities and security risks.
Some of the flaws identified had persisted for decades, undetected by traditional testing methods.
Project Glasswing aims to convert these capabilities into a coordinated defensive advantage. Partners will use the model to scan and secure systems more efficiently, supported by $100 million in usage credits and additional funding for open-source security initiatives.
The programme also targets long-term improvements in cybersecurity standards and secure development practices.
Modern society depends on software that runs critical infrastructure, including banking systems, healthcare networks, energy grids, and communications platforms. When AI systems find vulnerabilities at scale, the balance shifts between attackers and defenders, making hidden weaknesses easier to uncover and faster to fix before exploitation.
For global infrastructure, this means cybersecurity is shifting from slow, human-driven auditing to continuous, AI-assisted defence, where speed, coordination, and secure-by-design practices become essential to maintaining stability and reducing systemic risk.
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