Ottawa, ON, Nov. 7, 2017 — Interset announced a 366% YoY growth in MRR, a reflection of record demand for its advanced analytics across multiple cybersecurity sectors.

As the only scalable security-analytics architecture for simultaneous visibility of multiple threat vectors at once, Interset has seen strong demand for its unsupervised machine-learning capabilities across Data Loss Prevention (DLP), Identity and Access Management (IAM), Security Information and Event Management (SIEM),  and Managed Security Service Providers (MSSP) markets. Recent announcements include integration with a Prescriptive SOC offering from Atos and a close partnership with McAfee.

Interset’s security analytics bring a new dimension of threat visibility and accelerated detection necessary to combat modern cyberattacks. Automation through big-data security analytics and machine learning is the only possible way to extract meaningful insights from the deluge of data and alerts facing security teams today. To keep pace with multifaceted attack vectors, SOC teams need Interset’s dynamically adaptive analytics and intelligent threat insights for effective cyber defense.

Interset augments existing investments, such as SIEM systems, to expand threat coverage of multiple inside threats—such as compromised accounts, privileged-account misuse, and internal reconnaissance—that ultimately culminate in data breaches and data loss. Its machine-learning analytics provide security automation that focuses and accelerates threat detection and investigation on the threats that matter most.

Over the past year, Interset has expanded revenue, headcount, and innovation to match record demand for its big-data cybersecurity platform. Highlights of the past year include:

• 366% YoY growth in MRR
• 2 times more patents drafted, filed, and published compared to past years
• 150 new machine-learning models
• Twice the employee headcount

“We have seen incredible growth in demand for Interset’s security analytics,” says Mark Smialowicz. “The efficacy of our advanced mathematical modeling in multiple security-analytics applications is clearly illustrated in the 366% increase in MRR and customer traction over the past 12 months.”