We wanted to take the guesswork out of which model to use for PR security reviews. To our surprise no Anthropic model reaches the frontier at all and the latest GPT5.6, released only 3 days ago, is the king. Although Fable is known to perform well on a full-code scan, PR reviews are a common workload for our users.
For the first time, a Western government has forced an AI model off the market. Anthropic disabled its two most powerful systems, Fable 5 and Mythos 5, yesterday after a federal export control directive landed citing national security.
Every security team is now running the same debate: build your own AI security review, or buy one. You drop a coding agent into CI, it finds real issues, rerun the same PR and you get different findings, different severities, no memory of last triage, no audit trail for AppSec. Get a better model and you get sharper findings but it won't close the gap. The real question isn't whether an LLM can find issues. It's whether you back yourself to build a great harness. That takes eval infrastructure, state, and the kind of engineering Cloudflare, Rogo, and Anthropic are writing blog posts about. Most teams don't have it. That is the ceiling.
SYDNEY, AUSTRALIA & SAN FRANCISCO, USA: AI security startup Dam Secure has raised $4 million in a seed funding round led by Washington, D.C.-based cyber and AI investor, Paladin Capital Group, to solve for the security risks created by AI-generated code entering production at scale.