Source-attributed briefs on defensive
AI cybersecurity.
An editorial channel for the independent Glasswing community. We publish original analysis and link to public sources with clear attribution. We do not republish copyrighted full text.
- Scope
- Defensive cybersecurity only
- Sources
- Public · attributed
- Content
- Original analysis · short excerpts
- Reviewers
- Human · independent
Independent platform. Not affiliated with Anthropic. Submission does not grant access to Claude, Claude Mythos, or any restricted model.
Six lines of inquiry, one defensive lens.
Project Glasswing analysis
Plain-language explanation of the publicly discussed defensive AI cybersecurity initiative and what we can responsibly say about it.
Claude Mythos public signals
A running record of publicly available information and community interpretation, source-attributed and clearly dated.
AI-assisted vulnerability discovery
How capable models may augment human auditors, the failure modes (false positives, overreliance), and the workflows that contain them.
Responsible disclosure
Coordinated vulnerability disclosure, embargo windows, maintainer-side intake, and the small operational details that decide outcomes.
Critical infrastructure security
Defensive notes for teams operating energy, transport, healthcare, and finance systems where impact is asymmetric.
Open-source maintainer readiness
Practical preparation for a world where AI-augmented vulnerability reports may arrive at small project inboxes.
Latest from the desk.
How Organizations Should Prepare for AI-Assisted Vulnerability Discovery
Practical, defensive guidance for security leaders preparing for a world where AI accelerates vulnerability discovery.
Why Claude Mythos Matters for Defensive Cybersecurity
Advanced AI models can help defenders find hidden bugs and prioritize fixes — but only with disciplined human oversight.
What Is Project Glasswing?
A plain-language overview of the defensive AI cybersecurity initiative inspired by the public discussion around Claude Mythos Preview.
Defensive-first. Human-led. Source-honest.
We publish what we can verify. We say what we don't know. We never frame community signal as official Anthropic communication.