Depthfirst launches RL-trained dfs-large1 for enterprise vulnerability detection

The model beats general-purpose rivals on Depthfirst's internal benchmark, whose construction and methodology remain unpublished.

By · Published

Primary source: X

Why it matters

Depthfirst is spending venture-scale capital to own the security model beneath its product. Its internal benchmark suggests progress, but reproducible testing will determine whether the advantage holds.

Andrea Michi (@andreamichi), Depthfirst's co-founder and CTO, launched dfs-large1 on July 30th, putting a reinforcement learning-trained model into preview for customers hunting vulnerabilities across large enterprise code repositories.…

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

Reader comments

Conversation for this story loads after sign-in.