BitSight - drop in company ratings
| Id | d8844f11-3a36-4b97-9062-1e6d57c00e37 |
| Rulename | BitSight - drop in company ratings |
| Description | Rule helps to detect when there is a drop of 10% or more in BitSight company ratings. |
| Severity | High |
| Tactics | Reconnaissance CommandAndControl |
| Required data connectors | BitSight |
| Kind | Scheduled |
| Query frequency | 1d |
| Query period | 24h |
| Trigger threshold | 0 |
| Trigger operator | GreaterThan |
| Source Uri | https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/BitSight/Analytic Rules/BitSightDropInCompanyRatings.yaml |
| Version | 1.0.1 |
| Arm template | d8844f11-3a36-4b97-9062-1e6d57c00e37.json |
let timeframe = 24h;
BitSightGraphData
| where ingestion_time() > ago(timeframe)and toint(RatingDifferance) < 0
| extend percentage = -(toreal(RatingDifferance)/toreal(Rating))*100
| where percentage >= 10
| project RatingDate, Rating, CompanyName, percentage
queryFrequency: 1d
customDetails:
CompanyRating: Rating
CompanyName: CompanyName
alertDetailsOverride:
alertDescriptionFormat: 'Alert is generated for {{CompanyName}}.\n\nRating Date: {{RatingDate}}\nPercentage Drop: {{percentage}}%'
alertDisplayNameFormat: 'BitSight : Alert for >10% drop in ratings of {{CompanyName}}.'
tactics:
- Reconnaissance
- CommandAndControl
name: BitSight - drop in company ratings
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/BitSight/Analytic Rules/BitSightDropInCompanyRatings.yaml
triggerThreshold: 0
description: |
'Rule helps to detect when there is a drop of 10% or more in BitSight company ratings.'
status: Available
kind: Scheduled
requiredTechniques:
- T1591
- T1090
id: d8844f11-3a36-4b97-9062-1e6d57c00e37
incidentConfiguration:
createIncident: false
queryPeriod: 24h
version: 1.0.1
severity: High
requiredDataConnectors:
- connectorId: BitSight
dataTypes:
- BitSightGraphData
eventGroupingSettings:
aggregationKind: AlertPerResult
triggerOperator: GreaterThan
query: |
let timeframe = 24h;
BitSightGraphData
| where ingestion_time() > ago(timeframe)and toint(RatingDifferance) < 0
| extend percentage = -(toreal(RatingDifferance)/toreal(Rating))*100
| where percentage >= 10
| project RatingDate, Rating, CompanyName, percentage