Platform for Advanced Behavioral Threat Detection Using Big Data Is Subject of ISSA Journal Paper by Interset CTO Stephan Jou

Ottawa, ON, Aug. 26, 2014 – The author of a new paper in the August 2014 issue of the Information Systems Security Association (ISSA) Journal says big data is providing greater context than ever before and helping to feed new security software platforms which are more effective at monitoring users and machines to detect behavioral anomalies that are the precursors of insider and targeted outside attacks. Stephan Jou, CTO of Interset, has authored “Towards a Big Data Behavioral Analytics Platform,” exploring how the application of data science and increasingly powerful analytics on a growing volume of big data are able to correlate, quantify and corroborate behavioral events to effectively detect threats and attacks, while removing white noise and false positives.

Big data in the context of security refers to the increasing velocity, volume and variety of data from sources that may include network, email, endpoints and log data from a wide range of repositories that contain intellectual property as well as non-traditional data sources, such as social media, HR performance and financial credit ratings. The August ISSA Journal, “Big Data: Use and Security Ramifications,” covers the challenges and solutions for securing big data projects.

Interset, the new name for FileTrek Inc., delivers behavioral-centric security, specializing in helping organizations in industries such as manufacturing, life sciences, and government to protect sensitive data. This includes intellectual property, trade secrets and classified files which may be at risk from insider or targeted outside attack. Interset’s highly intelligent and accurate enterprise threat detection solution enables companies of all sizes to use the power of big data, behavioral analytics and machine learning to protect their sensitive data.

“The Information Security segment is ripe for, and in a very real sense, demands, big data analytics,” says Interset’s Jou. “But amassing a comprehensive and large data plane is only half the battle. We also need to apply principled mathematics to help us turn the data into actionable insights. By building probabilistic models that quantify how bad, suspicious or abnormal an event is, we can keep all events and their associated scores for correlation,” he says. “This allows us to more accurately assess the overall risk posture of any entity inside our system, and even detects “low and slow” threats by no longer ignoring low probability events that, with a threshold-based approach, would otherwise be discarded.”

The ISSA is a not-for-profit, international professional organization of information security professionals and practitioners. It provides educational forums, publications and peer interaction opportunities that enhance the knowledge, skill and professional growth of its members.

About Interset
Interset provides highly intelligent, accurate insider and targeted outsider threat detection. Our solution 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 into sensitive data. This enables 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, intelligence communities, aerospace and defense, and securities brokerage industries. For more information, visit and follow us on Twitter @intersetca.

Betsy Kosheff