Securonix

Securonix

Securonix is a security analytics platform that uses machine learning and behavioral analysis to detect cyberthreats and data breaches. It monitors data activity across cloud, on-premises and hybrid infrastructure to identify suspicious behavior and prevent attacks.
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Securonix: Security Analytics Platform

A security analytics platform using machine learning and behavioral analysis to detect cyberthreats and data breaches, monitoring data activity across cloud, on-premises and hybrid infrastructure.

What is Securonix?

Securonix is a security analytics platform designed to detect advanced cyber threats and data breaches using machine learning and behavioral analysis. It provides security monitoring and analytics capabilities across cloud, on-premises and hybrid infrastructure environments.

Key capabilities and features of Securonix include:

  • Behavioral analytics and anomaly detection using machine learning to identify unusual data access, transfers or other activity that may indicate a security risk
  • Log collection and analysis from multiple data sources including cloud services like AWS and O365 as well as security devices, endpoints, applications and databases
  • Detection of known and unknown threats including insider threats, compromised credentials, malware, hackers and policy violations
  • Risk-based monitoring and prioritization to focus on the biggest areas of potential risk
  • Customizable dashboards, reporting and threat hunting workflows to investigate threats
  • Case management and workflow automation for efficient incident response
  • Pre-built content and behavioral models for rapid time to value
  • Scalable architecture built for large volumes of data and many use cases

Overall, Securonix provides an end-to-end security analytics and monitoring platform to reduce the risk of data breaches and cyber attacks using advanced behavioral analysis and threat detection techniques.

Securonix Features

Features

  1. User and Entity Behavior Analytics (UEBA)
  2. Security Orchestration, Automation and Response (SOAR)
  3. Threat hunting
  4. Anomaly detection
  5. Risk scoring
  6. Incident response
  7. Log management
  8. Compliance monitoring

Pricing

  • Subscription-Based

Pros

Advanced machine learning and behavioral analytics

Real-time threat detection

Customizable dashboards and reporting

Integrates with many data sources

Cloud-native and scalable architecture

Cons

Complex setup and configuration

Requires tuning to reduce false positives

Limited case management capabilities

Can be expensive for smaller organizations


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