Entities_Data_CL
| where entity_type == "host" and is_prioritized == true
| summarize arg_max(['last_modified_timestamp'], *) by ['name']
id: 9b51b0fb-0419-4450-9ea0-0a48751c4902
customDetails:
tags: tags
entity_id: id
ip_address: ip
attack_profile: attack_profile
entity_type: entity_type
requiredDataConnectors:
- dataTypes:
- Entities_Data_CL
connectorId: VectraXDR
name: Vectra Create Incident Based on Priority for Hosts
tactics:
- Persistence
triggerOperator: GreaterThan
suppressionDuration: PT1H
eventGroupingSettings:
aggregationKind: AlertPerResult
triggerThreshold: 0
alertDetailsOverride:
alertDynamicProperties:
- value: url
alertProperty: AlertLink
alertDescriptionFormat: An incident has been generated for Vectra AI entity {{name}} that is presenting an urgency score of {{urgency_score}}.
alertDisplayNameFormat: Vectra AI Incident- {{name}}
version: 1.1.1
suppressionEnabled: false
kind: Scheduled
queryPeriod: 10m
queryFrequency: 10m
severity: Medium
incidentConfiguration:
createIncident: true
groupingConfiguration:
reopenClosedIncident: true
enabled: true
matchingMethod: AllEntities
lookbackDuration: P7D
relevantTechniques:
- T1546
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.
status: Available
query: |
Entities_Data_CL
| where entity_type == "host" and is_prioritized == true
| summarize arg_max(['last_modified_timestamp'], *) by ['name']
entityMappings:
- fieldMappings:
- identifier: HostName
columnName: name
entityType: Host
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Vectra XDR/Analytic Rules/Priority_Host.yaml