In-Situ Capabilities Deliver Moving Defenses for BluVector Customers
BluVector, a leader in AI-driven network security, 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).
BluVector issued patent for “System and method for in-situ classifier retraining for malware identification and model heterogeneity” (U.S. Patent 10,121,108). It marks the company’s third patent for #cybersecurity.
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.”