Cloudflare tests Mythos on live infrastructure code
Cloudflare's 'Project Glasswing' describes its recent testing of security-focused large language models (LLMs), including 'Mythos', on live code within its infrastructure. The article shares observations on the models’ strengths and weaknesses, noting the work required for these applications to scale.
Key Takeaways
- Cloudflare ran Mythos and other security-focused LLMs on live code in critical parts of its infrastructure.
- Project Glasswing is the name Cloudflare used for the testing effort.
- The article focuses on both strengths and weaknesses, not just model performance.
- Cloudflare says the surrounding work needs to change before these tools can scale.
Why It Matters
Cloudflare is testing security-focused LLMs on live infrastructure code, which makes the deployment question concrete rather than theoretical. The article’s emphasis on strengths, weaknesses, and the required supporting work suggests the bottleneck is not just model quality but operational readiness. For the broader streaming and cloud stack, that matters because security tooling has to fit production systems before it can be relied on at scale. The next signal to watch is whether Cloudflare publishes more detail on the live-code findings from Project Glasswing and Mythos.
Read full article at blog.cloudflare.com
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