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
| Website | https://ml4cyber.com/ |
| Employees | 5 (0 on RocketReach) |
| Founded | 2020 |
| Address | 1450 S Rolling Rd, Baltimore, Maryland 21227, US |
| Phone | +1 443-214-2244 |
| Industry | Computer and Network Security, Custom Software & Technical Consulting, Software |
| Keywords | Machine Learning Cybersecurity, Ml Security, Vulnerability Assessment, Code Security, Cybersecurity Automation, Software Security Testing, Cybersecurity Software, Ai Driven Security, Security Automation, Artificial Intelligence Cybersecurity, Static Code Analysis, Dynamic Code Analysis, Application Security, Threat Detection, Secure Coding, Predictive Security |
| Competitors | Darktrace, CrowdStrike, Palo Alto Networks, Mandiant, Splunk, IBM, McAfee, Cylance Inc., Fortinet, SentinelOne +44 more (view full list) |
| SIC | SIC Code 737 Companies, SIC Code 73 Companies |
| NAICS | NAICS Code 54 Companies, NAICS Code 541 Companies |
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ML 4 Cyber is based in Baltimore, Maryland.
The NAICS codes for ML 4 Cyber are [54, 541].
The SIC codes for ML 4 Cyber are [737, 73].
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