SOC as a Service
Security Event Correlation & Analysis
Advanced security event correlation and analysis services powered by AI/ML analytics to identify complex attack patterns and eliminate false positives through intelligent automated analysis.
Overview
AI-Powered Security Event Correlation & Analysis
Our Security Event Correlation & Analysis services transform massive volumes of security events into actionable intelligence through Seceon’s advanced correlation algorithms, machine learning, and automated analysis. We identify complex attack patterns, eliminate false positives, and provide meaningful security insights using Seceon’s big-fast data architecture that processes billions of inputs and generates correlated outputs in seconds while providing contextual threat analysis.
Methodology
Our correlation methodology incorporates automated rule-based correlation, statistical analysis, machine learning algorithms, and behavioral analytics enhanced by Seceon’s advanced platform capabilities with real-time threat intelligence integration and automated contextual analysis for superior threat detection.
Involves integration with 800+ data sources across endpoints, networks, applications, identity systems, and cloud environments with automated data normalization and intelligent filtering.
Encompasses AI-enhanced analytics with automated correlation, machine learning-based pattern recognition, and behavioral analytics to identify sophisticated attack campaigns through contextual analysis.
Includes automated threat intelligence integration, pattern recognition, and contextual analysis to provide meaningful security insights and eliminate false positive alert fatigue.
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Benefits
Reduce security analyst workload through intelligent automated event correlation
Improve threat detection accuracy and eliminate false positive alert fatigue
Automatically identify sophisticated attack campaigns through advanced pattern recognition
Enhance security visibility through comprehensive automated event analysis
Optimize security tool effectiveness through automated tuning and correlation
Support security team efficiency through automated event processing and prioritization
Our Approach
- Data Source Integration
- Event Normalization
- Pattern Recognition
- Behavioral Analysis
- Threat Intelligence Correlation
- Risk Scoring
- Alert Prioritization
- Contextual Analysis
- Automated Reporting
- Continuous Learning

We integrate security data from 800+ sources including security tools, network devices, applications, and cloud platforms with automated data collection and processing.

We normalize security events from disparate sources into common formats using automated parsing and standardization for consistent analysis and correlation.

We identify complex attack patterns using advanced machine learning algorithms and behavioral analytics to detect sophisticated multi-stage attack campaigns.

We analyze user and entity behavior patterns to detect anomalous activities and insider threats through automated behavioral profiling and analysis.

We correlate security events with global threat intelligence feeds and proprietary threat research for enhanced context and threat attribution.

We provide automated risk scoring and prioritization with transparent, contextual alerts and intelligent filtering to focus on genuine security threats.

We prioritize security alerts using intelligent automation and risk-based scoring to optimize analyst workflow and response effectiveness.

We provide automated contextual analysis with precise detections and intelligent prioritization capabilities for meaningful security insights.

We generate comprehensive automated reports with detailed analysis, trends, and recommendations for security posture improvement and strategic planning.

We continuously improve correlation effectiveness through automated machine learning and platform updates for evolving threat landscape protection.
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