Detect & Investigate Threats
Secure60’s advanced detection and investigation capabilities help you identify threats quickly and conduct thorough investigations. From powerful search capabilities to entity behavior analytics, we provide the tools security teams need to stay ahead of threats.
Core Capabilities
Powerful search interface with advanced query syntax, real-time filtering, and data visualization. Search across all ingested data with lightning-fast performance and intuitive operators.
Key Features:
- Advanced query syntax with field-specific searches
- Real-time and historical data analysis
- Visual query builder
- Saved searches and dashboards
- Export capabilities
Next-generation behavioral analysis that models users, devices, and assets to detect anomalous behavior and advanced threats. Build profiles of normal behavior and automatically detect deviations.
Key Features:
- User and Entity Behavior Analytics (UEBA)
- Baseline behavior modeling
- Anomaly detection algorithms
- Risk scoring and prioritization
- Timeline analysis
Flexible rule engine for creating custom detection logic, automated responses, and workflow orchestration. From simple threshold alerts to complex correlation rules.
Key Features:
- Drag-and-drop rule builder
- Correlation across multiple data sources
- Automated response actions
- Alert prioritization and routing
- Custom notification channels
Integrate external threat intelligence feeds and build custom threat indicators. Automatically enrich events with IOC matching and threat context.
Key Features:
- Multiple threat intelligence feeds
- Custom IOC management
- Automatic indicator matching
- Threat context enrichment
- Intelligence sharing capabilities
Investigation Workflow
- Detection - Automated rules and analytics identify potential threats
- Triage - Risk scoring helps prioritize which alerts to investigate first
- Investigation - Use search and entity analytics to understand the full scope
- Response - Take automated or manual response actions
- Documentation - Create detailed incident reports and lessons learned
Best Practices
- Start with High-Fidelity Rules - Begin with detection rules that have low false positive rates
- Use Entity Context - Leverage entity analytics to understand if behavior is truly anomalous
- Correlate Across Data Sources - Combine logs, network data, and endpoint telemetry
- Automate Routine Tasks - Use response automation for common investigation steps
- Document Everything - Maintain detailed investigation notes for future reference
Advanced Features
- Machine Learning Detection - Leverage ML algorithms for advanced threat detection
- Threat Hunting - Proactive searching for hidden threats in your environment
- Incident Response Integration - Seamless integration with SOAR platforms
- Timeline Analysis - Reconstruct attack sequences with detailed timelines
For hands-on tutorials and implementation guides, visit our Guides section.