In-situ Capabilities Deliver Moving Defenses for BluVector Customers
ARLINGTON, Va., Nov. 28, 2018 – BluVector, a leader in AI-driven network security, today announced that it has been issued a new patent for “System and method for in-situ classifier retraining for malware identification and model heterogeneity” (U.S. Patent 10,121,108).
The recently awarded patent is the company’s third in machine learning for cybersecurity, supporting BluVector’s continued leadership in leveraging AI-based approaches to deal with the volume, velocity and polymorphic nature of cybersecurity threats.
“This patent is another in a series of innovations we have brought to market to deliver highly scalable, real-time analysis of file-based and fileless threats,” said Dr. Scott Miserendino, VP R&D. “This patent specifically highlights our ability to retrain our machine learning models locally, producing defenses unique to each customer environment.”