AADRiskyUsers

Risky Users Overview:

The following section provides a schema for the Risky User logs generated by Identity Protection

Schema

Column	Type	Description
_BilledSize	real	The record size in bytes
CorrelationId	string	The ID for correlated log analytics events. Can be used to identify correlated events between multiple tables.
Id	string	Unique ID of the user at risk.
_IsBillable	string	Specifies whether ingesting the data is billable. When _IsBillable is false ingestion isn't billed to your Azure account
IsDeleted	bool	Indicates whether the user is deleted.
IsProcessing	bool	Indicates whether a user's risky state is being processed by the backend.
OperationName	string	Name of the operation.
RiskDetail	string	Details of the detected risk. Possible values are: none, adminGeneratedTemporaryPassword, userPerformedSecuredPasswordChange, userPerformedSecuredPasswordReset, adminConfirmedSigninSafe, aiConfirmedSigninSafe, userPassedMFADrivenByRiskBasedPolicy, adminDismissedAllRiskForUser, adminConfirmedSigninCompromised, hidden, adminConfirmedUserCompromised, unknownFutureValue.
RiskLastUpdatedDateTime	datetime	The date and time that the risky user was last updated.
RiskLevel	string	Level of the detected risky user. Possible values are: low, medium, high, hidden, none, unknownFutureValue.
RiskState	string	State of the user's risk. Possible values are: none, confirmedSafe, remediated, dismissed, atRisk, confirmedCompromised, unknownFutureValue.
SourceSystem	string	The type of agent the event was collected by. For example, OpsManager for Windows agent, either direct connect or Operations Manager, Linux for all Linux agents, or Azure for Azure Diagnostics
TenantId	string	The Log Analytics workspace ID
TimeGenerated	datetime	The date and time of the event in UTC.
Type	string	The name of the table
UserDisplayName	string	Risky user display name.
UserPrincipalName	string	Risky user principal name.