Insider Risk_Risky User Access By Application
This alert evaluates Microsoft Entra ID Sign in risk via Machine Learning correlations in the basket operator. The basket threshold is adjustable, and the default is set to .01. There is an optional configuration to…
Description
This alert evaluates Microsoft Entra ID Sign in risk via Machine Learning correlations in the basket operator. The basket threshold is adjustable, and the default is set to .01. There is an optional configuration to configure the percentage rates. The correlations are designed to leverage machine learning to identify patterns of risky user application access. There is an option for configuration of correlations against Microsoft Sentinel watchlists. For more information, see [Tutorial: Use risk detections for user sign-ins to trigger Microsoft Entra ID Multi-Factor Authentication or password changes](https://docs.microsoft.com/azure/active-directory/authentication/tutorial-risk-based-sspr-mfa)
Detection logic
Detection requirements
- Platform
- ContainersIaaSLinuxmacOSWindows
The rule states no platform. This is derived from the ATT&CK technique it maps to.
- Log source product
- azureactivedirectory
- Log source service
- signinlogs
MITRE ATT&CK mappings
0 exclusive techniques.This is coverage no other published rule has; it is not this rule's total technique count.
No references are available for this detection.
From the source
- At source
- Open at source
- Upstream identifier
- 15386bba-dc70-463f-a09f-d392e7731c63
- Tagged by the source as
- Execution
Licence
- Published under
- MIT LicenseRead the licence
- Attribution
- Required
- Obtained under
- MITRead the origin licence
Authorship
- Published
- Sep 1, 2026
- Version
- 1