Find Problems Before Users Report Them
AI-powered pattern detection analyzes your entire fleet to surface incidents before they become widespread. Get automatic root cause analysis, predictive alerts, and recommended remediation steps.
Endpoints Health
Overall fleet status based on active incidents
7-Day Trend
Incidents and anomalies over the last 7 days
Incidents by Severity
Issues Affecting Score
Recommendations
- Investigate Chrome crashes on DESKTOP-PC01, DESKTOP-PC02
- Review disk space on endpoints approaching 90% threshold
- Check VPN connectivity issues affecting 2 endpoints
Fleet Analytics Dashboard
Everything you need to monitor fleet health and catch issues early
Fleet Health Score
Single score (0-100) showing overall fleet health at a glance
- Health score based on active incidents
- Status breakdown (healthy/warning/critical)
- 7-day trend direction
- Incident counts by severity
- Endpoints with active anomalies
- Actionable recommendations
Incidents
AI-detected issues and patterns across your fleet requiring attention
- Widespread application instability
- Likely bad update detection
- Emerging issue early warning
- Recurring endpoint issues
- Correlated incidents across endpoints
- Predicted threshold breaches
Investigations
AI-powered root cause analysis that digs into incidents automatically
- Automatic root cause analysis
- Timeline reconstruction
- Contributing factor identification
- Confidence scoring
- Recommended remediation steps
- Historical pattern correlation
Anomaly Detection
Automatic detection when endpoint behavior deviates from normal
- Per-endpoint baseline learning
- Process/service anomaly signals
- Resource usage deviation alerts
- Network behavior changes
- Application crash patterns
- Signal aggregation over time
Fleet Comparison
Compare individual endpoints against fleet-wide averages
- Percentile ranking per endpoint
- Outlier detection (above/below average)
- Fleet statistics (mean, median, P90)
- Signal count comparisons
- Z-score based analysis
- Identify problematic endpoints
Trend Analysis
Track patterns and predict issues before they become critical
- 7-day trend analysis
- Temporal pattern detection
- Seasonality awareness
- Rate of change tracking
- Predictive threshold alerts
- Version correlation analysis
How Fleet Analytics Works
From data collection to automated root cause analysis in 5 steps
Agents Collect Data
Lightweight agents on each endpoint continuously monitor system behavior and send telemetry
Baselines Are Built
The system learns what 'normal' looks like for each endpoint over 7 days
Anomalies Are Detected
When behavior deviates from normal, anomaly signals are generated and aggregated
Incidents Are Created
Fleet-wide analysis creates incidents for bad updates, spreading issues, and emerging problems
Root Cause Analysis
AI investigates incidents automatically, identifying contributing factors and recommending fixes
Why Analytics Matter
Real-world impact from data-driven IT management
Catch Bad Updates Early
Detect when a software update is causing issues across your endpoints before it spreads
Incident created: Chrome v130 crashing on 8 endpoints with 80% version correlation. Alert to pause rollout before more endpoints affected.
Spot Spreading Issues
AI identifies emerging patterns that indicate a problem is spreading across endpoints
Incident: VPN authentication failures up 200% in 2 hours, now affecting 15 endpoints. Investigate before it becomes an outage.
Automatic Root Cause Analysis
AI investigates incidents automatically, tracing back through logs and events to find the cause
Investigation complete: Outlook crashes caused by recent Windows update KB5034441. Confidence: 92%. Recommendation: Roll back update.
Know Fleet Health at a Glance
Single health score tells you if your fleet needs attention without digging through logs
Fleet Health drops from 95 to 72 overnight. Check incidents: 3 high-severity patterns detected on accounting department endpoints.
Actionable Incidents, Not Just Alerts
Each incident includes affected endpoints, severity, root cause, and recommended fixes
Incident: 'Widespread Outlook instability affecting 12 endpoints'. Root cause identified. One-click to view timeline and remediation steps.
Predict Issues Before They Happen
Trend analysis and temporal patterns help you prevent problems, not just react to them
Predicted: Disk space threshold breach on 5 endpoints within 48 hours based on current growth rate. Proactive cleanup recommended.
Proactive Incident Detection
Stop firefighting. Our AI analyzes patterns across your entire fleet to surface incidents before users even notice them. Get a single health score, automatic anomaly detection, and actionable recommendations.