SN System Properties Reference
Property reference

sn_disco_workspace.discovery_schedule_anomaly_discover_type

The sn_disco_workspace.discovery_schedule_anomaly_discover_type property specifies which types of Discovery schedules have anomaly detection enabled. Admins should review this setting to ensure that the appropriate types, such as IP-based or Cloud Discovery, are monitored for anomalies.

Default
CIs, Cloud Resources
Type
string
Application
Discovery Admin Workspace

Key questions about this property

The answers below summarize the purpose, scope, default effect, and review scenarios for this property.

What does it do? This property configures the types of Discovery schedules, either IP-based or Cloud Discovery, for which anomaly detection is active, allowing for tailored monitoring.
What area does it affect? Discovery Admin Workspace
What does the default mean? The default value is "CIs, Cloud Resources", which is the baseline setting used unless it is changed.
When should you review it? Review this property when adjusting anomaly detection preferences for specific Discovery schedule types.

Out of the box property record

Raw metadata from the property record.

Property name sn_disco_workspace.discovery_schedule_anomaly_discover_type
Sys ID abb4b585ffd862103612ffffffffff81
Type string
Application Discovery Admin Workspace
Default value CIs, Cloud Resources
Description Property to determine the type of Discovery schedule for which anomaly detection is enabled. Anomaly detection can be enabled for IP-based (CIs) and/or Cloud Discovery (Cloud Resources) schedules. Expected value is a comma separated string of allowed discovery_schedule.types. The default value is CIs, Cloud Resources. To disable anomaly detection for a specific type of discovery, exclude it from the value. For example, remove "Cloud Resources" from the string if you only want to detect anomalies for IP-based Discovery schedules.
Updated 2025-04-02 18:38:26

Sources

Official references and nearby text excerpts where this property appears.

Brazil docs View supporting context
Context preview Snippet 1
... 1093 Field Description and outliers. The Stats-based approach uses historical scan data and statistical standard deviation metrics to detect anomalies and outliers. • Type: choice list • Default value: ML-based sn_disco_workspace.discovery_schedule_anomaly_discover_type Discovery Admin Workspace: Determines the type of Discovery schedules for which anomaly detection is enabled, IP-based (CIs) and/or Cloud Discovery (Cloud Resources). To disable anomaly detection for a specific type ...

More in sn_disco_workspace

Other properties in the same namespace.

sn_disco_workspace.discovery_schedule_anomaly_detection_disabled The property controls whether anomaly detection is active for Discovery schedules, with a default setting that sn_disco_workspace.discovery_schedule_anomaly_detection_method It specifies whether to use ML-based or Stats-based methods for identifying anomalies in Discovery schedules, sn_disco_workspace.discovery_schedule_anomaly_ml_model_sensitivity It configures the sensitivity level for detecting anomalies in Discovery schedules, affecting how many anomali sn_disco_workspace.discovery_schedule_cis_discovered_anomaly_threshold This property determines the threshold percentage that triggers an anomalous status when the number of discove sn_disco_workspace.discovery_schedule_error_anomaly_threshold This property determines the percentage threshold for marking Discovery schedule error counts as anomalous bas sn_disco_workspace.discovery_schedule_provider_sync This property specifies whether syncing of the Provider value in discovery_schedule_extend_params is complete, sn_disco_workspace.discovery_schedule_runtime_anomaly_threshold This property determines the threshold percentage for marking a Discovery schedule as anomalous based on its e sn_disco_workspace.discovery_stats_time_scale This property sets the time frame for displaying Discovery schedule statistics in the Discovery Admin Workspac

All 15 properties in sn_disco_workspace →