2026-05-19

Project Glasswing: what Mythos showed us

strong concrete framing for AI-assisted security work, generic coding agents pointed at big repos are the wrong shape; narrow scoped agents + adversarial review + parallel harnesses seem to be the winning pattern.

Original source

Reading Log X Post Historical Backfill Agents Security LLM Research

What it is: Cloudflare on testing Anthropic Mythos against 50+ internal repos; links to "Project Glasswing: what Mythos showed us".

Gist: key claim is that stronger offensive-security models change vuln research from bug spotting to exploit-chain construction and proof generation, but the real bottleneck becomes harness design, triage noise, and scoped parallel workflows rather than just faster patching.

Newsletter angle: "offensive AI doesn't just speed up vuln discovery, it forces a redesign of the architecture around triage, coverage, and exploit validation".

Note: extracted via FXTwitter API + Cloudflare blog; article fetch was partial/truncated but the central thesis and main sections were clear.