Entities_Data_CL
| where entity_type == "host" and is_prioritized == true
| summarize arg_max(['last_modified_timestamp'], *) by ['name']
customDetails:
ip_address: ip
tags: tags
entity_id: id
entity_type: entity_type
attack_profile: attack_profile
status: Available
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Vectra XDR/Analytic Rules/Priority_Host.yaml
triggerOperator: GreaterThan
suppressionDuration: PT1H
requiredDataConnectors:
- dataTypes:
- Entities_Data_CL
connectorId: VectraXDR
incidentConfiguration:
groupingConfiguration:
reopenClosedIncident: true
enabled: true
matchingMethod: AllEntities
lookbackDuration: P7D
createIncident: true
relevantTechniques:
- T1546
kind: Scheduled
name: Vectra Create Incident Based on Priority for Hosts
query: |
Entities_Data_CL
| where entity_type == "host" and is_prioritized == true
| summarize arg_max(['last_modified_timestamp'], *) by ['name']
tactics:
- Persistence
severity: Medium
suppressionEnabled: false
entityMappings:
- fieldMappings:
- identifier: HostName
columnName: name
entityType: Host
queryFrequency: 10m
description: Create an incident when an identity is suspected to be compromised. Vectra is using AI to prioritize an entity based on multiple factors (attack rating, velocity, breadth, importance.etc.). This layer of aggregation at the entity level provides a greater signal-to-noise ratio and help analyst focus on what matters.
alertDetailsOverride:
alertDisplayNameFormat: Vectra AI Incident- {{name}}
alertDescriptionFormat: An incident has been generated for Vectra AI entity {{name}} that is presenting an urgency score of {{urgency_score}}.
alertDynamicProperties:
- value: url
alertProperty: AlertLink
triggerThreshold: 0
queryPeriod: 10m
version: 1.1.1
eventGroupingSettings:
aggregationKind: AlertPerResult
id: 9b51b0fb-0419-4450-9ea0-0a48751c4902