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E8 Unveils Self-Learning Behavioral Intelligence Platform

E8 Security has unveiled a new behavioral intelligence platform that not only analyzes threats to the network but also adapts security infrastructure as it learns about them.

Elizabeth Montalbano

October 28, 2015

2 Min Read
E8 Unveils Self-Learning Behavioral Intelligence Platform

A security startup out of Redwood City, California, aims to give enterprises unique insight into security threats with a new platform that not only analyzes threats to the network but also adapts security infrastructure as it learns about them

E8 Security unveiled its flagship product, the E8 Security Behavioral Intelligence Platform, which the company is touting as a self-learning security solution that digs up unseen internal and external threats and adversaries to an enterprise network by automatically identifying anomalies that arise from users and devices on the network, the company said in a press release.

The company emerged from stealth in March with $9.8 million in series A funding led by March Capital Partners with participation from Allegis Capital and The Hive. E8’s technology is currently in private beta with several domestic and international companies, the company said.

E8 aims to give under-resourced security teams an automated way to consume and analyze the sheer volume of data available on enterprise networks to give them the insight they need to secure systems, said E8 Security CEO Matt Jones in the release. Currently, the inability to process these sometimes overwhelming amounts of data rapidly results in an insight gap that legacy systems can’t close, he said.

E8 wants to bridge this gap and bring previously unknown threats to the surface as well as allow security infrastructure to adapt rapidly to them, Jones said. “With the E8 Security Behavioral Intelligence Platform, enterprises can augment the capabilities of their analysts, improve the operational efficiency of their existing security systems and act decisively to resolve threats,” he said. “They can achieve these results without having to add armies of additional analysts.”

The platform works by using machine learning to track and identify every entity—including user, machine or device—in the enterprise. It then uses smart algorithms to identify malicious behavior and make the biggest risks priorities.

The three key functions of the platform are to provide visibility into previously unknown persistent threats, prioritize them based on risk, and rapidly respond to threats through an intuitive user experience and analysis that increase the effectiveness of existing security infrastructure, the company said.

All in all, the solution combines the scale of big data, behavioral analytics and human insight from IT security teams that also observe network behavior, said Ravi Devireddy, CTO at E8 Security, in the release.

“Security teams using the solution will be able to identify and resolve threats faster—separating the signal from the noise—so they can act with certainty,” he said. “This solution continually evolves, creating a learning loop. As E8 Security’s solution encounters more threats and interacts with security analysts, it becomes smarter, augmenting the intelligence the security operations team needs to act on. ”

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About the Author(s)

Elizabeth Montalbano

Elizabeth Montalbano is a freelance writer who has written about technology and culture for more than 15 years. She has lived and worked as a professional journalist in Phoenix, San Francisco, and New York City. In her free time she enjoys surfing, traveling, music, yoga, and cooking. She currently resides in a small village on the southwest coast of Portugal.

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