FireEye, a Nasdaq-listed security solutions company, has introduced a machine learning-based detection and prevention solution to block advanced cyber threats, protecting customer information, sensitive data, and intellectual property.
The firm has integrated the new solution, MalwareGuard, to its endpoint security solution and is available to current subscribers at no additional cost. “The new solution is the result of two years of research. Machine learning techniques integrated in the solution would make it easy to classify malware on its own, without any human involvement,” a FireEye executive said.
The ML model is trained in data gathered from over 1.5 crore endpoint agents, attack analyses based on more than 10 lakh hours spent responding to attacks till date. “Attackers are constantly innovating and outmanoeuvring legacy, signature-based technology,” John Laliberte, Senior Vice-President (Engineering) of FireEye, said.
“Reducing the window of time from discovery to analysis and deployment of protection is critical to reducing risk in your enterprise,” he said. These new FireEye Endpoint security features are now available in the latest version of FireEye Endpoint Security (4.5).