OTTAWA, ON--(Marketwired - Jan 11, 2016) - A detailed product review in technology and business magazine eWEEK illustrates how adept Interset's user and behavior analytics platform is at addressing the primary security challenge facing enterprises: how to prioritize true threats so critical risks are easily understood before data is stolen.

The in-depth review, "Interset Applies Machine Learning to Sniff Out Stealthy Cyber-Threats," and accompanying slideshow, "Interset Brings Reputation Scoring to the World of Insider Threats," are by award-winning journalist Frank Ohlhorst. Ohlhorst explains how the Interset platform takes a unique approach to threat detection by building "risk stories" which illustrate the level of trust and reputation of those accessing data and applications. Risk stories put threats into context to help administrators fully comprehend the danger behind certain behaviors, the review states. This becomes the "litmus test for determining normalized traffic" which Interset's machine learning engine uses to continually fine tune risk scoring.

"Interset goes above and beyond the capabilities of the majority of security products on the market," says Ohlhorst. "By integrating machine learning with reputation scoring along with identified behavior patterns, Interset is able to counter threats as they arise, evolve and mutate into entities that were previously never seen."

The Interset platform delivers risk analysis, as the slide show illustrates, and "can report risk over customizable time scales, giving a historical view of the level of risk, while providing the ability to drill down into additional details to provide more insight into the analytics presented on the summary dashboard."

Interset employs features such as:

  • Wizards which guide administrators through the essential steps to gather data to be analyzed using Interset Connectors for PLM, SIEM, SCM and DLP data types from leading platforms, such Splunk, SAP, Perforce, McAfee, FireEye, and dozens more
  • Multiple, probabilistic math models to more accurately recognize and trigger alerts about users, machines, repositories and/or files that are under threat
  • Prioritized and contextually rich views of the entities and events related to risks and threats so security teams understand which events represent the greatest risk and what to do to stop them before data is lost
  • An uncanny ability to detect threats in real time, which gain additional meaning by being associated with context and reputation scores, enabling administrators to take action before those threats become serious data loss problems

See eWeek's full coverage at:
http://www.eweek.com/security/interset-applies-machine-learning-to-sniff-out-stealthy-cyber-threats.html 
http://www.eweek.com/security/slideshows/interset-brings-reputation-scoring-to-the-world-of-insider-threats.html

About Interset
Interset provides a highly intelligent and accurate insider and targeted outsider threat detection solution that unlocks the power of behavioral analytics, machine learning, and big data to provide the fastest, most flexible, and affordable way for IT teams of all sizes to operationalize a data protection program. Utilizing agentless data collectors, lightweight endpoint sensors, advanced behavioral analytics, and an intuitive user interface, Interset provides unparalleled visibility over sensitive data, enabling early attack detection and actionable forensic intelligence with reduced false positives and noise. Interset solutions are deployed to protect critical data across the manufacturing, life sciences, high-tech, finance, government, aerospace and defense, and securities-brokerage industries.

For more information, visit www.interset.comand follow us on Twitter @intersetca.