Behavioral Analysis
Cert-IX Behavioral Analysis monitors user and system activities to establish baselines, detect anomalies, and identify potential security threats.
How Behavioral Analysis Works
Baseline Establishment
The system learns normal behavior patterns:
- User login times and locations
- Typical data access patterns
- Application usage habits
- Network communication patterns
- System resource usage
Continuous Monitoring
Real-time tracking of:
- All user activities
- System operations
- Network communications
- Data access events
- Application behaviors
Anomaly Detection
Identification of deviations from normal:
- Statistical analysis
- Machine learning models
- Rule-based detection
- Correlation analysis
Behavioral Indicators
User Behavior Indicators
Access Patterns
- Login time anomalies
- Geographic impossibilities
- Unusual resource access
- Privilege escalation attempts
- After-hours activity
Data Handling
- Bulk data access
- Sensitive file access
- Unusual downloads
- External transfers
- Print activities
Communication Patterns
- Email anomalies
- External communications
- New contact patterns
- Messaging behavior
System Behavior Indicators
Process Behavior
- Unusual process execution
- Memory usage anomalies
- CPU utilization spikes
- New processes
- Process chains
Network Behavior
- Traffic volume changes
- New connections
- Protocol anomalies
- Bandwidth spikes
- External communication
File System Behavior
- File creation patterns
- Modification activity
- Deletion patterns
- Permission changes
- Encryption activities
Using Behavioral Analysis
Viewing Analysis
- Navigate to Analytics → Behavioral Analysis
- View the behavioral dashboard
- Select analysis type (user/system)
- Review findings and alerts
User Analysis View
- User risk scores
- Activity timelines
- Behavior comparisons
- Alert history
- Investigation tools
System Analysis View
- System health indicators
- Process monitoring
- Network analysis
- Resource usage
- Anomaly detection
Investigation Tools
User Investigation
- Select user for investigation
- View activity timeline
- Compare to baseline
- Review related events
- Document findings
System Investigation
- Select system/asset
- View behavior history
- Analyze anomalies
- Correlate events
- Identify root cause
Risk Scoring
User Risk Score
Calculated from:
- Anomaly frequency
- Anomaly severity
- Access patterns
- Historical behavior
- Role-based factors
Score Interpretation
| Score | Risk Level | Action |
|---|---|---|
| 0-30 | Low | Normal monitoring |
| 31-60 | Medium | Enhanced monitoring |
| 61-80 | High | Investigation recommended |
| 81-100 | Critical | Immediate action required |
Alerts and Notifications
Alert Types
- Anomaly detection alerts
- Threshold breach alerts
- Pattern match alerts
- Correlation alerts
Alert Configuration
- Sensitivity settings
- Threshold values
- Notification channels
- Escalation rules
Privacy Considerations
Data Protection
- Role-based access to behavioral data
- Audit logging of analysis activities
- Data retention policies
- Anonymization options
Compliance
- GDPR considerations
- Privacy regulations
- Employee notification
- Data minimization
Best Practices
- Allow learning time - Baselines need data to establish
- Review regularly - Check behavioral insights frequently
- Investigate promptly - Act on high-risk indicators
- Update baselines - Reflect legitimate changes
- Balance privacy - Respect user privacy while maintaining security
- Document investigations - Keep records of analysis
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