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AI-powered vulnerability discovery methodology from Anthropic's Project Glasswing - using frontier models (Mythos Preview) to find critical security vulnerabilities in open-source and enterprise software.
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| name | glasswing-vulnerability-discovery |
| description | AI-powered vulnerability discovery methodology from Anthropic's Project Glasswing - using frontier models (Mythos Preview) to find critical security vulnerabilities in open-source and enterprise software. |
| version | 1.0.0 |
| author | Anthropic Research |
| date | 2026-05-22T00:00:00.000Z |
| source | https://www.anthropic.com/research/glasswing-initial-update |
| category | cybersecurity |
| tags | ["cybersecurity","vulnerability-discovery","ai-security","frontier-models","mythos"] |
| activation_keywords | ["glasswing","vulnerability discovery","mythos preview","AI security testing","frontier red team"] |
Methodology from Anthropic's Project Glasswing (May 2026) using Mythos Preview AI model to discover critical security vulnerabilities at unprecedented scale.
Project Glasswing uses frontier AI models (Mythos Preview) to scan software for vulnerabilities. Within one month, partners found 10,000+ high/critical vulnerabilities - a 10× increase in bug-finding rate.
| Metric | Value |
|---|---|
| Total vulnerabilities found | 10,000+ |
| Partner bug-finding rate increase | 10× |
| Open-source vulnerabilities scanned | 6,202 high/critical (estimated) |
| True positive rate (triaged) | 90.6% |
| High/critical confirmed | 62.4% |
Follows industry convention:
1. Identify critical software targets
2. Run Mythos Preview scan
3. AI estimates severity (low/medium/high/critical)
4. Triage by independent security researchers
5. Validate true positives (90.6% rate achieved)
6. Confirm severity classification
7. Follow 90-day disclosure timeline
8. Patch deployment tracking
For wolfSSL vulnerability:
Mythos Preview also useful for:
adversarial-testing-framework - AI adversarial testingagentic-coding-security - Security for agentic AIred-teaming - Red team methodologyExtracted from Anthropic Research: Project Glasswing (May 2026)