Real-Time Security Monitoring and Operations
Comprehensive Security Operations Center platform for continuous security monitoring, threat detection, and incident response. Integrate with SIEM systems, analyze security events, detect threats in real-time, and coordinate response activities. Centralize security monitoring, improve detection capabilities, and reduce response time to security threats.
Centralized view of security posture. Real-time dashboards showing alerts, incidents, and threats. Customizable widgets for different stakeholders. Quick access to critical security information.
Aggregate alerts from multiple sources. Correlate and deduplicate alerts. Prioritize based on severity and impact. Route to appropriate analysts. Track alert-to-incident workflow.
Integrate threat intelligence feeds. Enrich alerts with threat context. Track Indicators of Compromise (IoCs). Identify known threats and TTPs. Share threat information with community.
Track SOC performance metrics. Monitor Mean Time to Detect (MTTD) and Respond (MTTR). Measure alert accuracy and false positive rates. Demonstrate SOC effectiveness to management.
Operate round-the-clock SOC for continuous security monitoring. Aggregate logs and events from all security tools. Detect threats in real-time. Alert on-call analysts immediately. Coordinate response across shifts. Maintain situational awareness.
Proactively hunt for threats that evaded automated detection. Use threat intelligence and behavioral analytics. Investigate suspicious patterns and anomalies. Discover advanced persistent threats (APTs). Document findings and improve detection rules.
Enhance existing SIEM capabilities with alert management, case tracking, and response workflows. Provide analyst workspace on top of SIEM. Integrate multiple SIEM platforms. Add threat intelligence context. Improve analyst efficiency.
Operate SOC for multiple customers. Tenant isolation for customer data. Customer-specific dashboards and reports. Alert routing by customer. SLA tracking and reporting. Demonstrate value to customers.
Monitor compliance with security policies and standards. Detect policy violations in real-time. Alert on non-compliant activities. Track compliance metrics. Generate compliance reports for PCI DSS, HIPAA, SOX requirements.
Monitor security across multi-cloud environments (AWS, Azure, GCP). Track cloud configuration changes. Detect unauthorized access to cloud resources. Monitor cloud workload security. Integrate with cloud-native security tools.
Built on Django with PostgreSQL for alert and case data. Real-time WebSocket connections for live dashboards. Elasticsearch for log search and analytics. Redis for caching and real-time data. Celery for background tasks and automation. Integration layer for SIEM and security tools.
All SOC data encrypted. Access control for sensitive security information. Audit trail for SOC operations. Secure API endpoints. Protection against data leakage. Compliance with security operations best practices.
Handles millions of events per day. Distributed architecture for high availability. Horizontal scaling for increased load. Efficient data storage and retrieval. Real-time processing pipelines. Archive old data for performance.
Custom dashboards and widgets. Configurable alert rules. Custom detection logic. Flexible case workflows. White-label for MSSPs. Custom integrations via API. Pluggable threat intelligence feeds.
The platform integrates with major SIEM platforms: Wazuh (full integration), Splunk, Elastic Stack (ELK), IBM QRadar, ArcSight, LogRhythm, and any system supporting syslog or REST APIs. Integration allows bidirectional communication: receive alerts from SIEM and send investigation results back.
Alert correlation groups related alerts together to reduce noise. System identifies alerts from same source IP, targeting same asset, or matching same threat pattern. Correlated alerts are deduplicated and presented as single incident. This reduces alert fatigue and helps analysts focus on real threats.
Yes, through behavior analytics and anomaly detection. System baselines normal behavior and alerts on deviations. Machine learning models detect unusual patterns even without known signatures. Threat hunting features help analysts discover sophisticated threats that evaded automated detection.
Integrate commercial and open-source threat intelligence feeds (STIX/TAXII, MISP, custom feeds). System automatically enriches alerts with threat context, checks IoCs against known threats, and provides actor/campaign information. Helps analysts quickly understand threat severity and appropriate response.
SOAR (Security Orchestration, Automation, and Response) features include automated alert enrichment, playbook execution for common scenarios, automated threat hunting queries, remediation action orchestration, and integration with security tools. Reduces manual work and accelerates response.
Yes, designed for multi-tenant MSSP operations. Customer data isolation, per-customer dashboards and reports, customer-specific alert routing, SLA tracking, and customer portals. Efficient SOC operations for multiple customers from single platform.
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