Securonix User and Entity Behavior Analytics

Advanced Analytics Powered by Machine Learning

Reduce Your Risk of Insider Threats

  • Build a comprehensive risk profile of every user in your environment, based on identity, employment, security violations, IT activity and access, physical access, and even phone records.
  • Identify true areas of risk by comparing user activity to their individual baseline, their peer group baseline, and known threat indicators.
  • Results are scored and presented in interactive scorecards.
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Are you one of the 90% of organizations that are vulnerable to a cyber attack from the inside?

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Clear Visibility into Your Cloud

  • Provide cloud-to-cloud monitoring capabilities with built-in APIs for all major cloud infrastructure and application technologies.
  • Detect malicious activity by analyzing user entitlements and events.
  • Correlate cloud data and on-premises data to add entity context information.
  • Analyze end-to-end activities to detect actionable threat patterns.

Do you struggle to measure the return on your insider threat detection and prevention program?

Proactive Enterprise Fraud Detection

  • Identify complex fraud attacks that typically escape signature-based detection methods using advanced signatureless behavior and peer-based outlier analysis techniques.
  • Detect account takeover, anomalous user behavior, transaction fraud, and anti-money laundering violations.
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Learn how to cut through the noise and understand what to expect from an effective UEBA solution.

Analyst Recognition and Awards

Positioned Furthest in Vision

Gartner 2017 Magic Quadrant For SIEM

Revolutionize Your Cloud Security

With Securonix Cloud you can enjoy all the capabilities of Securonix Security Analytics Platform, with the convenience of a software-as-a-service (SaaS) solution. It provides security that spans across your cloud infrastructure, data, applications, and access control solutions. Benefit from the quick deployment, easy scalability, and shorter time to value of Securonix Cloud.