Azure Key Vault access TimeSeries anomaly
Identifies a sudden increase in count of Azure Key Vault secret or vault access operations by CallerIPAddress. The query leverages a built-in KQL anomaly detection algorithm to find large deviations from baseline…
Description
Identifies a sudden increase in count of Azure Key Vault secret or vault access operations by CallerIPAddress. The query leverages a built-in KQL anomaly detection algorithm to find large deviations from baseline Azure Key Vault access patterns. Any sudden increase in the count of Azure Key Vault accesses can be an indication of adversary dumping credentials via automated methods. If you are seeing any noise, try filtering known source(IP/Account) and user-agent combinations. TimeSeries Reference Blog: https://techcommunity.microsoft.com/t5/azure-sentinel/looking-for-unknown-anomalies-what-is-normal-time-series/ba-p/555052
Detection logic
Detection requirements
- Platform
- LinuxmacOSWindows
The rule states no platform. This is derived from the ATT&CK technique it maps to.
- Log source product
- azurekeyvault
- Log source service
- keyvaultdata
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
- 0914adab-90b5-47a3-a79f-7cdcac843aa7
- Tagged by the source as
- CredentialAccess
Licence
- Published under
- MIT LicenseRead the licence
- Attribution
- Required
- Obtained under
- MITRead the origin licence
Authorship
- Published
- Aug 29, 2026
- Version
- 1