Entities_Data_CL
| where entity_type == "account" and is_prioritized == true
| summarize arg_max(['last_modified_timestamp'], *) by ['name']
queryFrequency: 10m
status: Available
queryPeriod: 10m
incidentConfiguration:
createIncident: true
groupingConfiguration:
enabled: true
lookbackDuration: P7D
matchingMethod: AllEntities
reopenClosedIncident: true
version: 1.1.1
query: |
Entities_Data_CL
| where entity_type == "account" and is_prioritized == true
| summarize arg_max(['last_modified_timestamp'], *) by ['name']
name: Vectra Create Incident Based on Priority for Accounts
alertDetailsOverride:
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}}
alertDynamicProperties:
- alertProperty: AlertLink
value: url
suppressionEnabled: false
tactics:
- Persistence
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Vectra XDR/Analytic Rules/Priority_Account.yaml
requiredDataConnectors:
- dataTypes:
- Entities_Data_CL
connectorId: VectraXDR
triggerOperator: GreaterThan
suppressionDuration: PT1H
customDetails:
entity_id: id
tags: tags
ip_address: ip
entity_type: entity_type
attack_profile: attack_profile
id: af6f2812-0187-4cc9-822a-952f8b5b6b7e
eventGroupingSettings:
aggregationKind: AlertPerResult
entityMappings:
- entityType: Account
fieldMappings:
- identifier: Name
columnName: name
triggerThreshold: 0
severity: Medium
kind: Scheduled
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.