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.
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
- User and Entity Behavior Analytics (UEBA)
- Security Orchestration, Automation and Response (SOAR)
- Threat hunting
- Anomaly detection
- Risk scoring
- Incident response
- Log management
- 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
Official Links
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