Reading / 2026-05/2026-05-18t091244-project-glasswing-what-mythos-showed-us
Project Glasswing: what Mythos showed us
Cloudflare details running Anthropic's security-focused Mythos Preview LLM against 50+ internal repos, finding it meaningfully advances exploit-chain construction and proof generation but requires a structured multi-agent harness to produce reliable, low-noise vulnerability findings at scale.
May 18, 2026 · tech · Grant Bourzikas, Cloudflare Blog
Topics
- ai-security
- vulnerability-research
- llm-agents
- ai-assisted-coding
Cited by
- AI-assisted coding
AI coding assistants accelerate development but introduce tradeoffs around skill atrophy, codebase design, verification, and security that shape how much value they actually deliver.
- LLM agents
LLM agents are language models embedded in structured harnesses that plan, use tools, and complete multi-step tasks autonomously; current work shows they require careful context and role scoping to stay reliable and low-noise at scale.
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