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FireEye Brings Advanced Machine Learning to Endpoint Security With MalwareGuard

By   /  August 1, 2018  /  No Comments

A new press release states, “FireEye, Inc., the intelligence-led security company, today 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 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 release goes on, “FireEye MalwareGuard is the result of a two-year research project from FireEye data scientists and testing in real-world incident responses. 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 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.”

It adds, “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.”

Read more at Business Wire.

Photo credit: FireEye

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