ML 4 Cyber

We have developed a high-reliability, automated approach to analyzing software code for vulnerabilities that is a leap forward in technology when compared to competing commercial solutions. We provide an efficient Machine Learning approach to identify both true positives and false positives with very high accuracy: greater than 90%. This solution reduces the time required to find vulnerabilities by a factor of ten (10) or more, and the results are highly reliable. Why ML4Cyber? Save money, time, and resources by identifying only the exploitable and relevant findings of SAST tools for a fraction of the cost and time! Maryland Innovation Initiative (MII) Funded Award Project Minority Business Enterprise (MBE) Licensed technology from the University of Maryland