ML4Cyber
ML4Cyber offers a highly reliable and automated approach to software code analysis for vulnerabilities, utilizing machine learning to achieve over 90% accuracy in identifying true and false positives. Their solution significantly reduces vulnerability detection time by a factor of ten or more, saving costs, time, and resources by focusing on exploitable findings. The company is funded by the Maryland Innovation Initiative (MII) and is a Minority Business Enterprise (MBE) with licensed technology from the University of Maryland.
ML4Cyber
ML4Cyber offers a highly reliable and automated approach to software code analysis for vulnerabilities, utilizing machine learning to achieve over 90% accuracy in identifying true and false positives. Their solution significantly reduces vulnerability detection time by a factor of ten or more, saving costs, time, and resources by focusing on exploitable findings. The company is funded by the Maryland Innovation Initiative (MII) and is a Minority Business Enterprise (MBE) with licensed technology from the University of Maryland.
TL;DR
Company: ML4Cyber
Product: Machine-learning-based automated software code vulnerability analysis
Reported accuracy: Over 90% in identifying true vs false positives
Employees: 5
Funding (reported): USD 150,000 (Maryland Innovation Initiative)
Website status: Coming Soon landing page
Company Overview
Problem Domain
Application security / software vulnerability detection
Industry
Cybersecurity
Funding Track Record
150000.00
Reported funding from MII; company listed as Minority Business Enterprise with licensed technology from the University of Maryland.