Cybersecurity solutions vendor Trend Micro Incorporated has announced the integration of machine learning capabilities into its Trend Micro TippingPoint next-generation intrusion prevention system (NGIPS) solutions.
TippingPoint NGIPS is part of the Trend Micro Network Defense solution, which in combination with advanced threat protection, is optimized to prevent targeted attacks, advanced threats, and malware from embedding or spreading within a data center or network. Network Defense is powered by XGen security, a blend of cross-generational threat defense techniques designed for leading customer platforms and applications and powered by threat intelligence.
According to the company, 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 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.
“With the addition of machine learning capabilities into the TippingPoint solution, we have been able to improve the accuracy of detecting malicious activity, which speeds up protection of our network across our business,” says Erwin Jud, senior security engineer for Swiss Railways Ltd. “When you blend that with exclusive vulnerability data, not only is my administrative security management reduced, but I feel confident that I have the most advanced threat techniques that continue to adapt now and in the future to keep my company’s data secure.”
For more information about TippingPoint solutions, visit http://www.trendmicro.com/tippingpoint.
