Entities_Data_CL
| where entity_type == "account" and is_prioritized == true
| summarize arg_max(['last_modified_timestamp'], *) by ['name']
kind: Scheduled
triggerThreshold: 0
requiredDataConnectors:
- dataTypes:
- Entities_Data_CL
connectorId: VectraXDR
entityMappings:
- entityType: Account
fieldMappings:
- columnName: name
identifier: Name
relevantTechniques:
- T1546
status: Available
customDetails:
attack_profile: attack_profile
ip_address: ip
tags: tags
entity_type: entity_type
entity_id: id
tactics:
- Persistence
eventGroupingSettings:
aggregationKind: AlertPerResult
alertDetailsOverride:
alertDisplayNameFormat: Vectra AI Incident- {{name}}
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}}.
name: Vectra Create Incident Based on Priority for Accounts
suppressionEnabled: false
query: |
Entities_Data_CL
| where entity_type == "account" and is_prioritized == true
| summarize arg_max(['last_modified_timestamp'], *) by ['name']
id: af6f2812-0187-4cc9-822a-952f8b5b6b7e
severity: Medium
queryPeriod: 10m
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Vectra XDR/Analytic Rules/Priority_Account.yaml
version: 1.1.1
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.
queryFrequency: 10m
suppressionDuration: PT1H
incidentConfiguration:
groupingConfiguration:
matchingMethod: AllEntities
lookbackDuration: P7D
enabled: true
reopenClosedIncident: true
createIncident: true
triggerOperator: GreaterThan