depthfirst builds two-cent, two-second vulnerability scanner with Jev
The depthfirst team used Jev, a classifier that outputs probabilities, to build a parallel scanning harness that finds nearly as many vulnerabilities on dfbench v1 as GPT-5.6 Luna, escalating only the hardest cases to frontier models.
Our researchers built a vulnerability scanner that costs two cents per scan and completes a scan in around two seconds. The scanner is built with Jev, a classifier that outputs probabilities rather than generating tokens. On dfbench v1, our flagship model, it finds nearly as many real vulnerabilities as GPT-5.6 Luna, one of the most efficient models by cost per vulnerability. This new harness breaks vulnerability discovery into parallel tasks, making it possible to scan every package, repository, or commit quickly and at low cost before escalating the hardest cases to other frontier models on the depthfirst platform. Read more about how we built this in comments 👇