FireEye, Inc, the intelligence-led security company, has announced the addition of a new detection and prevention engine, MalwareGuard™ to its endpoint security solution
It 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.
The machine learning model is trained with both public and private data sources, including data gathered from more than 15mn endpoint agents, attack analyses based on more than one million hours spent responding to attacks to date, more than 200,000 consulting hours every year and adversarial intelligence collected from a global network of analysts that speak 32 languages.
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.
John Laliberte, senior vice-president of engineering, FireEye, said, “Attackers are constantly innovating and outmaneuvering 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 cyber-threats including never-before seen threats by automating the discovery, analysis, and deployment of protection through our endpoint solution,” Laliberte added.
FireEye Endpoint Security includes the FireEye Helix™ security operations platform, which integrates security tools and applies threat intelligence, automation and case management to help organizations take control of incidents from alert to fix.
