User Accounts - Sign in Failure due to CA Spikes

Original query, unchanged.

let riskScoreCutoff = 20; //Adjust this based on volume of results
let starttime = 14d;
let timeframe = 1d;
let scorethreshold = 3;
let baselinethreshold = 50;
let aadFunc = (tableName:string){
  // Failed Signins attempts with reasoning related to conditional access policies.
  table(tableName)
  | where TimeGenerated between (startofday(ago(starttime))..startofday(now()))
  | where ResultDescription has_any ("conditional access", "CA") or ResultType in (50005, 50131, 53000, 53001, 53002, 52003, 70044)
  | extend UserPrincipalName = tolower(UserPrincipalName)
  | extend timestamp = TimeGenerated, AccountCustomEntity = UserPrincipalName
};
let aadSignin = aadFunc("SigninLogs");
let aadNonInt = aadFunc("AADNonInteractiveUserSignInLogs");
let allSignins = union isfuzzy=true aadSignin, aadNonInt;
let TimeSeriesAlerts = 
allSignins
| make-series DailyCount=count() on TimeGenerated from startofday(ago(starttime)) to startofday(now()) step 1d by UserPrincipalName
| extend (anomalies, score, baseline) = series_decompose_anomalies(DailyCount, scorethreshold, -1, 'linefit')
| mv-expand DailyCount to typeof(double), TimeGenerated to typeof(datetime), anomalies to typeof(double), score to typeof(double), baseline to typeof(long)
// Filtering low count events per baselinethreshold
| where anomalies > 0 and baseline > baselinethreshold
| extend AnomalyHour = TimeGenerated
| project UserPrincipalName, AnomalyHour, TimeGenerated, DailyCount, baseline, anomalies, score;
// Filter the alerts for specified timeframe
TimeSeriesAlerts
| where TimeGenerated > startofday(ago(timeframe))
| join kind=inner ( 
  allSignins
  | where TimeGenerated > startofday(ago(timeframe))
  // create a new column and round to hour
  | extend DateHour = bin(TimeGenerated, 1h)
  | summarize PartialFailedSignins = count(), LatestAnomalyTime = arg_max(TimeGenerated, *) by bin(TimeGenerated, 1h), OperationName, Category, ResultType, ResultDescription, UserPrincipalName, UserDisplayName, AppDisplayName, ClientAppUsed, IPAddress, ResourceDisplayName
) on UserPrincipalName, $left.AnomalyHour == $right.DateHour
| project LatestAnomalyTime, OperationName, Category, UserPrincipalName, UserDisplayName, ResultType, ResultDescription, AppDisplayName, ClientAppUsed, UserAgent, IPAddress, Location, AuthenticationRequirement, ConditionalAccessStatus, ResourceDisplayName, PartialFailedSignins, TotalFailedSignins = DailyCount, baseline, anomalies, score
| extend timestamp = LatestAnomalyTime, Name = tostring(split(UserPrincipalName,'@',0)[0]), UPNSuffix = tostring(split(UserPrincipalName,'@',1)[0])
| extend UserPrincipalName = tolower(UserPrincipalName)
| join kind=leftouter (
    IdentityInfo
    | summarize LatestReportTime = arg_max(TimeGenerated, *) by AccountUPN
    | project AccountUPN, Tags, JobTitle, GroupMembership, AssignedRoles, UserType, IsAccountEnabled
    | summarize
        Tags = make_set(Tags, 1000),
        GroupMembership = make_set(GroupMembership, 1000),
        AssignedRoles = make_set(AssignedRoles, 1000),
        UserType = make_set(UserType, 1000),
        UserAccountControl = make_set(UserType, 1000)
    by AccountUPN
    | extend UserPrincipalName=tolower(AccountUPN)
) on UserPrincipalName
| join kind=leftouter (
    BehaviorAnalytics
    | where ActivityType in ("FailedLogOn", "LogOn")
    | where isnotempty(SourceIPAddress)
    | project UsersInsights, DevicesInsights, ActivityInsights, InvestigationPriority, SourceIPAddress
    | project-rename IPAddress = SourceIPAddress
    | summarize
        UsersInsights = make_set(UsersInsights, 1000),
        DevicesInsights = make_set(DevicesInsights, 1000),
        IPInvestigationPriority = sum(InvestigationPriority)
    by IPAddress)
on IPAddress
| extend UEBARiskScore = IPInvestigationPriority
| where UEBARiskScore > riskScoreCutoff
| sort by UEBARiskScore desc