Anomaly Detection
The continuous identification of patterns in system behavior that deviate from established baselines.
Definition
Anomaly detection is the continuous monitoring of system behavior to identify patterns that deviate from established baselines, often signaling failures, attacks, or capacity issues before they become outages. Modern anomaly detection combines statistical thresholds, machine learning models, and operator-defined rules to surface meaningful deviations while filtering out noise. Explore VEMIO product information on vemio.io.
See Also
Related Terms
VEMIO™
The network intelligence platform by Vinay Enterprises.
Predictive Maintenance
Using telemetry and pattern analysis to anticipate equipment failures before they happen.
NetFlow
A network protocol for collecting IP traffic flow data, used for bandwidth monitoring and congestion analysis.
SysLog
A standard protocol for collecting log messages from network devices, servers, and applications.
Questions about how this applies to your infrastructure?
Talk to an Expert