Chief Scientist Emeritus Fabian Yamaguchi and foundational Code Property Graph technology recognized with IEEE Test of Time Award
Before us, the only way to find true vulnerabilities in novel code was through manual review by human experts. Every other approach created too many false positives and false negatives to be worthwhile.
But our proprietary AI/ML engine, when applied to our patented Code Property Graph (CPG), can find new vulnerabilities almost instantly. That’s why we call it “preZero”–it finds zero-days before the bad guys can.
To learn more, read these insights from our CTO on AI in AppSec
When Qwiet AI finds previously unknown vulnerabilities, the results are double-checked by our security research team before being flagged as validated vulnerabilities.
These human-reviewed results are also used to train the AI/ML engine further, allowing for increasingly robust zero-day detection as time goes by.
The ultimate goal of the preZero platform is to use a combination of known vulnerabilities, heuristic detections, and guided AI to quickly provide accurate results.
This allows our customers to fix reachable and attackable vulnerabilities without wasting developer time hunting down false positives or upgrades that could be done at a later date.
Focusing on these high priority vulnerabilities, Qwiet customers fix 70% of new vulnerabilities in 14 days or less.
Our preZero platform incorporates human-in-the-loop AI to proactively identify and validate zero-day vulnerabilities before your code ever ships. This approach combines the precision of AI with the discernment of expert security analysts to give you a constantly improving layer of security against novel flaws and exploits.