Endpoint Telemetry & Analytics
Comprehensive endpoint health data collection and analysis
Endpoint Telemetry & Analytics collects, processes, and analyzes health data from every managed endpoint. CPU utilization, memory usage, disk health, application performance, and network connectivity metrics flow into the platform continuously.
AI detects anomalies in telemetry patterns that indicate emerging problems — a gradually filling disk, increasing memory consumption, or unusual CPU patterns that suggest malware. Early detection enables proactive remediation before users experience issues.
Cross-client analytics reveal common endpoint health patterns, helping your MSP optimize standard configurations and identify hardware models with above-average failure rates.
How It Works
Collect
Lightweight agents collect telemetry from all managed endpoints.
Process
Data normalized and stored in per-client isolated storage.
Analyze
AI detects anomalies, trends, and correlations across metrics.
Alert
Proactive alerts generated for predicted issues before users are affected.
AI Capabilities
Anomaly detection
Trend prediction
Cross-client pattern analysis
Proactive alerting
Human-in-the-Loop Checkpoints
- Review anomaly thresholds
- Investigate unusual patterns
- Validate alert accuracy
Key Metrics
Connected Process Areas
This process area integrates with related capabilities across the platform.
See Endpoint Telemetry & Analytics in Action
Experience AI-powered endpoint management automation — from insight to action in a single platform.