Entities_Data_CL
| where entity_type == "account" and is_prioritized == true
| summarize arg_max(['last_modified_timestamp'], *) by ['name']
customDetails:
attack_profile: attack_profile
tags: tags
entity_id: id
ip_address: ip
entity_type: entity_type
entityMappings:
- fieldMappings:
- columnName: name
identifier: Name
entityType: Account
alertDetailsOverride:
alertDynamicProperties:
- alertProperty: AlertLink
value: url
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}}.
status: Available
queryFrequency: 10m
suppressionEnabled: false
triggerThreshold: 0
query: |
Entities_Data_CL
| where entity_type == "account" and is_prioritized == true
| summarize arg_max(['last_modified_timestamp'], *) by ['name']
queryPeriod: 10m
tactics:
- Persistence
relevantTechniques:
- T1546
suppressionDuration: PT1H
version: 1.1.1
kind: Scheduled
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
incidentConfiguration:
createIncident: true
groupingConfiguration:
reopenClosedIncident: true
lookbackDuration: P7D
enabled: true
matchingMethod: AllEntities
severity: Medium
id: af6f2812-0187-4cc9-822a-952f8b5b6b7e
eventGroupingSettings:
aggregationKind: AlertPerResult
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.
name: Vectra Create Incident Based on Priority for Accounts