Trend Micro has made enhancements to its network defense solutions, leveraging the company’s powerful XGen security. Continuing its smart, optimized and connected security strategy, Trend Micro has infused patent-pending machine learning capabilities into its Trend Micro TippingPoint next-generation intrusion prevention system (NGIPS) solutions.
“Protecting an enterprise network is a vital part of a connected threat defense that should also include servers and endpoints,” said Steve Quane, executive vice president and chief product officer for Trend Micro TippingPoint. “As businesses grow, the need is greater to have a solution that can provide visibility and control within any customer environment while sharing threat intelligence across security layers.”
Trend Micro TippingPoint NGIPS applies machine learning statistical models to feature vectors extracted from network data on the wire to make a real-time decision on whether network traffic is malicious or benign. This evolution helps to better detect advanced malware behavior and communications invisible to standard defenses. TippingPoint NGIPS also applies machine learning techniques to detect and block known and unknown malware families that use domain generation algorithms (DGAs) to generate domain names for infected hosts attempting to contact their command and control servers.