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