FireEye adds advanced machine learning to its endpoint security

FireEye has announced the addition of MalwareGuard - a new advanced machine learning- based detection and prevention engine - to its Endpoint Security solution. MalwareGuard is designed to help detect and block cyberthreats including never-before-seen threats to provide customers an added level of protection to stop attacks and protect customer information, sensitive data, and intellectual property. MalwareGuard is integrated into the FireEye Endpoint Security agent and is available now for current customers at no additional cost, and via a free trial for other organizations interested in upgrading their endpoint defenses.

The MalwareGuard model is trained using advanced machine learning techniques to enable MalwareGuard to make intelligent malware classifications on its own and without human involvement. The machine learning model is trained with both public and private data sources, including data gathered from over 15 million end point agents, attack analyses based on more than one million hours spent responding to attacks to date, over 200,000 consulting hours every year and adversarial intelligence collected from a global network of analysts that speak 32 languages.

With the addition of MalwareGuard, FireEye Endpoint Security agent now includes four integrated engines: machine learning (MalwareGuard), behaviour-based (ExploitGuard), signature-based (Malware Protection) and intelligence-based (IOC), to provide a layered defense designed to protect customers from known and unknown threats. These engines are continuously updated with advanced threat intelligence unique to FireEye and designed to keep pace with evolving threats only seen in the wild.

In addition to leading prevention engines, FireEye Endpoint Security includes investigation, detection and response (EDR) capabilities that are designed to enable organizations to rapidly investigate and respond to attacks on the endpoint. This is all included in one lightweight agent and managed through the cloud, on-premises or a hybrid deployment.

John Laliberte, Senior Vice-President of Engineering, FireEye, says, “Attackers are constantly innovating and outmanoeuvring legacy, signature-based technology. Reducing the window of time from discovery, to analysis, and deployment of protection is critical to reducing risk in your enterprise. By combining our unique frontline knowledge of the adversaries with our in-house machine learning expertise, we can now better protect our customers against cyberthreats including never-before seen threats by automating the discovery, analysis, and deployment of protection through our endpoint solution.”

These new FireEye Endpoint Security features are now available in the latest version of FireEye Endpoint Security (4.5). A free trial of FireEye Endpoint Security is available from authorized FireEye partners worldwide.