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Press releases

October 11, 2017


Security teams radically accelerate threat detection and response with machine learning

Ottawa, ON, Oct. 11, 2017 — The release of Interset 5.4, from the security-analytics innovator, expands threat coverage to 300+ machine-learning models which dramatically increase threat-detection speed and enterprise-wide visibility.

“Security products that incorporate advanced analytics and cognitive computing offer the potential for more accurate threat detection and effective protection against adversaries, yielding stronger security,” writes Gartner, noting that by 2020, 60% of digital businesses will suffer major service failures due to IT security teams’ inability to manage digital risk. “Gartner feels the eventuality in security analytics is a one-platform solution that is able to analyze multiple behaviors (user, host, network, and so on) such that it can detect a longer list of threat types (such as malware, hacking, and compromised users).”

Interset, powered by unsupervised machine learning, has the only security-analytics architecture that continues to process company data as it grows. Its 5.4 release adds Netflow to the data it already analyzes (among them: authentication, endpoint, VPN, file share, directory service, proxy, printer, resource access, and repository logs). The wide breadth of data yields more comprehensive threat detection and clear insight into both the behaviors of entities (users, files, servers, devices) and how they interplay with each other.

“It’s about visibility.” says Mark Squire, Midnight Oil’s Director of Security. “Interset’s unique ability to analyze billions of events and distill them into high-confidence security intelligence allows us to quickly separate threats from the noise. This visibility and focus allows our security practitioners to quickly investigate and remediate threats even as they become increasingly pervasive and sophisticated.”

By adding NetFlow, Interset demonstrates an integrated, holistic approach to security, that brings together formidable big-data processing with unsupervised machine learning, helping enterprises advance to the next phase of security innovation.

In just nine months, Interset has added 150 machine-learning models to pinpoint:

  • Insider Threats
  • Compromised Accounts
  • Infected Hosts
  • Lateral Movement
  • Data-Staging
  • Data Theft
  • Suspicious Activity

What used to take days or months, now takes minutes. A holistic security solution, Interset integrates with existing investments, such as SIEM systems, to expand threat coverage and eliminate false-positive alerts. Its machine-learning analytics also provide security automation that immediately streamlines workforce efforts to minimize operating expenses, while speeding up threat response.

Interset company growth accompanies these technological advancements. “We have seen incredible demand for Interset’s robust capabilities,” say Interset CEO Mark Smialowicz. “Just as the Industrial Revolution transformed manufacturing, big data and machine learning are transforming cybersecurity.”

Learn More: Visit Meet Interset 5.4 for more product details, a solutions whitepaper, and a data-breach infographic.


  • Gartner, Market Insight: Security Market Transformation Disrupted by the Emergence of Smart, Pervasive and Efficient Security, 01 February 2017
  • Gartner, Market Trends: SIEM Providers Using Analytics as a Competitive Edge, 28 February 2017

About Interset 
Interset is a security analytics pioneer. An In-Q-Tel company, Interset makes security teams efficient by distilling billions of events into a handful of prioritized threat leads. Its unsupervised machine learning measures the unique digital footprint of systems and users. What used to take days or months, now takes minutes. Enterprises deploy Interset’s machine-learning solution to protect critical data across the manufacturing, life sciences, high-tech, finance, government, aerospace, defense, and securities-brokerage industries. To learn more, visit our website, and follow us on TwitterLinkedIn, and Facebook.