FireEye adds machine learning to endpoint security

In News
John Laliberte

FireEye announced the addition of new advanced machine learning based detection and prevention engine, MalwareGuard to its Endpoint Security solution. MalwareGuard is designed to help detect and block cyber-threats 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 machine learning model is trained with both public and private data sources, including data gathered from over 15 million endpoint 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.

FireEye analyzes hundreds of millions of malware samples resulting in first-hand knowledge of the threat landscape that’s not available to any other organization. The FireEye data science team has real-world experience analyzing cyber-threats and they use FireEye’s unique data to train MalwareGuard to detect new threats that often bypass competitors’ machine learning and signature-based solutions.

With the addition of MalwareGuard, FireEye Endpoint Security agent now includes four integrated engines: machine learning (MalwareGuard), behavior-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.

“Attackers are constantly innovating and outmaneuvering legacy, signature-based technology,” said John Laliberte, senior vice president of engineering, FireEye. “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 cyber-threats including never-before seen threats by automating the discovery, analysis, and deployment of protection through our endpoint solution.”

In addition to the new machine learning capabilities, FireEye Endpoint Security now includes new features designed to deliver more sophisticated management as well as simplify the process of moving from alert to fix.

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