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claude ai-safety developer-tools software-security

Expanding Project Glasswing

anthropic.com

June 2, 2026

5 min read

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56/100

Summary

Project Glasswing aims to secure critical software through collaboration, with around 50 partners currently using Claude Mythos Preview to identify vulnerabilities in their codebases. These partners have discovered over 10,000 high- or critical-severity security flaws since the project's inception.

Key Takeaways

Project Glasswing is expanding to include approximately 150 new organizations across more than 15 countries, focusing on critical infrastructure sectors such as power, water, healthcare, and communications.
Partners in Project Glasswing have identified over 10,000 high- or critical-severity security flaws in their codebases using Claude Mythos Preview.
The initiative aims to enhance software security by adapting to the evolving landscape of AI capabilities in cybersecurity, with a focus on both vulnerability detection and patch deployment.
Claude Security has been released to assist organizations in scanning codebases and suggesting patches, leveraging the latest AI models for improved cybersecurity measures.

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Community Sentiment

Mixed

Positives

The ongoing experimentation with AI agents for porting projects to Rust highlights a growing interest in enhancing memory safety, which is crucial for building reliable software.
The potential for AI models to automate complex tasks could democratize access to advanced capabilities, making them available to a broader audience at lower costs.

Concerns

Concerns about Anthropic's compute constraints suggest that their ability to deliver models at scale may be hindered, raising questions about their competitive position against OpenAI.
The fear that advanced AI models could enable sophisticated social engineering attacks underscores significant ethical and safety concerns regarding AI deployment in sensitive areas like finance.
The perception that the rollout of Mythos is more about marketing and scarcity rather than genuine capacity issues could undermine trust in the company's intentions and model capabilities.