A Voice Assistant for Microsoft Identity Manager

This is the third and final post in my series around using your voice to query/search Microsoft Identity Manager or as I’m now calling it, the Voice Assistant for Microsoft Identity Manager.

The two previous posts in this series detail some of my steps and processes in developing and fleshing out this concept. The first post detailed the majority of the base functionality whilst the second post detailed the auditing and reporting aspects into Table Storage and Power BI.

My final architecture is depicted below.

Identity Manager integration with Cognitive Services and IoT Hub 4x3

I’ve put together more of an overview in a presentation format embedded here.

GitPitch Presents: github/darrenjrobinson/MIM-VoiceAssistant/presentation

The Markdown Presentation Service on Git.

If you’re interested in building the solution checkout the Github Repo here which includes the Respeaker Python Script, Azure Function etc.

Let me know how you go @darrenjrobinson

Using your Voice to Search Microsoft Identity Manager – Part 1


Yes, you’ve read the title correctly. Speaking to Microsoft Identity Manager. The concept behind this was born off the back of some other work I was doing with Microsoft Cognitive Services. I figured it shouldn’t be that difficult if I just break down the concept into individual elements of functionality and put together a proof of concept to validate the idea. That’s what I did and this is the first post of the solution as an overview.

Here’s a quick demo.



The diagram below details the basis of the solution. There are a few extra elements I’m still working on that I’ll cover in a future post if there is any interest in this.

Searching MIM with Speech Overview

The solution works like this;

  1. You speak to a microphone connected to a single board computer with the query for Microsoft Identity Manager
  2. The spoken phrase is converted to text using Cognitive Speech to Text (Bing Speech API)
  3. The text phrase is;
    1. sent to Cognitive Services Language Understanding Intelligent Service (LUIS) to identify the target of the query (firstname lastname) and the query entity (e.g. Mailbox)
    2. Microsoft Identity Manager is queried via API Management and the Lithnet REST API for the MIM Service
  4. The result is returned to the single board computer as a text result phase which it then uses Cognitive Services Text to Speech to convert the response to audio
  5. The result is spoken back

Key Functional Elements

  • The microphone array I’m using is a ReSpeaker Core v1 with a ReSpeaker Mic Array
  • All credentials are stored in an Azure Key Vault
  • An Azure Function App (PowerShell) interfaces with the majority of the Cognitive Services being used
  • Azure API Management is used to front end the Lithnet MIM Webservice
  • The Lithnet REST API for the MIM Service provides easy integration with the MIM Service



Leveraging a lot of Serverless (PaaS) Services, a bunch of scripting (Python on the ReSpeaker and PowerShell in the Azure Function) and the Lithnet REST API it was pretty simple to integrate the ReSpeaker with Microsoft Identity Manager. An alternative to MIM could be any other service you have an API interface into. MIM is obviously a great choice as it can aggregate from many other applications/services.

Why a female voice? From a small response it was the popular majority.

Let me know what you think on twitter @darrenjrobinson

Getting started with the Lithnet REST API for the Microsoft Identity Manager Service


A common theme with my posts on Microsoft Identity is the extensibility of it particularly with the Lithnet tools that Ryan has released.

One such tool that I’ve used but never written about is the Lithnet REST API for the Microsoft Identity Manger Service. For a small proof of concept I’m working on I was again using this REST API and I needed to update it as Ryan has recently added some new functionality. I realised I hadn’t set it up in a while and while Ryan’s documentation is very good it was written some time ago when IIS Manager looked a little different. So here is a couple of screenshots and a little extra info to get you started if you haven’t used it before to supplement Ryan’s documentation located here.

Configuring the Lithnet REST API for the Microsoft Identity Manager Service

You can download the Lithnet REST API for the FIM/MIM Service from here

If you are using the latest version of the Lithnet Rest API you will need to make sure you have .NET 4.6.1 installed. If you are running Windows Server 2012 R2 you can get it from here.

When configuring your WebSite make sure you choose .NET v4.5 Classic for the Application Pool.

WebSite AppPool Settings.PNG

The web.config must match your MIM version. Currently the latest is 4.4.1749.0 as detailed here. That therefore looks like this.

WebConfig Resource Management Version.PNG

Finally you’ll need an SSL Certificate. For development environments a Self-Signed Certificate is fine. Personally I use this Cert Generator. Make sure you put the certificate in the cert store on the machine you will be testing access with. Here’s an example of my command line for generating a cert.

Cert Generation.PNG

You could also use Lets Encrypt.

In your bindings in IIS have the Host Name match your certificate.


If you’ve done everything right you will be able to hit the v2 endpoint help. By default with Basic Auth enabled you’ll be prompted for a username and password.

v2 EndPoint.PNG

Using PowerShell to query MIM via the Lithnet Rest API

Here is an example script to query MIM via the Lithnet MIM Rest API. Update for your credentials (Lines 2 and 3), the URL of the server running the API Endpoint (Line 11) and what you are querying for (Line 14). My script takes into account Self Signed Certs in a Development environment.

Example output from a query is shown below.

Example Output.PNG


Hopefully that helps you quickly get started with the Lithnet REST API for the FIM/MIM Service. I showed an example using PowerShell directly, but using an Azure Function is also a valid pattern. I’ve covered similar functionality in the past.

Identifying Active Directory Users with Pwned Passwords using Microsoft/Forefront Identity Manager v2, k-Anonymity and Have I Been Pwned



In August 2017 Troy Hunted released a sizeable list of Pwned Passwords. 320 Million in fact.

I subsequently wrote this post on Identifying Active Directory Users with Pwned Passwords using Microsoft/Forefront Identity Manager which called the API and sets a boolean attribute in the MIM Service that could be used with business logic to force users with accounts that have compromised passwords to change their password on next logon.

Whilst that was a proof of concept/discussion point of sorts AND  I had a disclaimer about sending passwords across the internet to a third-party service there was a lot of momentum around the HIBP API and I developed a solution and wrote this update to check the passwords locally.

Today Troy has released v2 of that list and updated the API with new features and functionality. If you’re playing catch-up I encourage you to read Troy’s post from August last year, and my two posts about checking Active Directory passwords against that list.

Leveraging V2 (with k-Anonymity) of the Have I Been Pwned API

With v2 of the HIBP passwod list and API the number of leaked credentials in the list has grown to half a billion. 501,636,842 Pwned Passwords to be exact.

With the v2 list in conjunction with Junade Ali from Cloudflare the API has been updated to be leveraged with a level of anonymity. Instead of sending a SHA-1 hash of the password to check if the password you’re checking is on the list you can now send a truncated version of the SHA-1 hash of the password and you will be returned a set of passwords from the HIBP v2 API. This is done using a concept called k-anonymity detailed brilliantly here by Junade Ali.

v2 of the API also returns a score for each password in the list. Basically how many times the password has previously been seen in leaked credentials lists. Brilliant.

Updated Pwned PowerShell Management Agent for Pwned Password Lookup

Below is an updated Password.ps1 script for the previous API version of my Pwned Password Management Agent for Microsoft Identity Manager. It functions by;

  • taking the new password received from PCNS
  • hashes the password to SHA-1 format
  • looks up the v2 HIBP API using part of the SHA-1 hash
  • updates the MIM Service with Pwned Password status

Checkout the original post with all the rest of the details here.


Of course you can also download (recommended via Torrent) the Pwned Password dataset. Keep in mind that the compressed dataset is 8.75 GB and uncompressed is 29.4 GB. Convert that into an On-Premise SQL Table(s) as I did in the linked post at the beginning of this post and you’ll be well in excess of that.

Awesome work from Tory and Junade.


Automating the generation of Microsoft Identity Manager Configuration Documentation


Last year Microsoft released the Microsoft Identity Manager Configuration Documenter which is available here. It is a fantastic little tool from Microsoft that supersedes its predecessor from the Microsoft Identity Manager 2003 Resource Toolkit (which only documented the Sync Server Configuration).

Running the tool (a PowerShell Module) against a base out-of-the-box reference configuration for FIM/MIM Servers reconciled against an exported configuration from the MIM Sync and Service Servers from an implementation, generates an HTML Report document that details the existing configuration of the MIM Service and MIM Sync.


Last year I wrote this post based on an automated solution I implemented to perform nightly backups of a FIM/MIM environment during development.

This post details how I’ve automated another daily task for a large development environment where a number of changes are going on and I wanted to have documentation generated that detailed the configuration for each day. Partly to quickly be able to work out what has changed when needing to roll back/re-validate changes, and also to have the individual configs from each day so they could also be used if we need to rollback.

The process uses an Azure Function App that uses Remote PowerShell into MIM to;

  1. Leverage a modified (stream lined version) of my nightly backup Azure Function to generate the Schema.xml and Policy.xml MIM Service configuration files and the Lithnet MIIS Automation PowerShell Module installed on the MIM Sync Server to export of the MIM Sync Server Configuration
  2. Create a sub-directory for each day under the MIM Documenter Tool to hold the daily configs
  3. Execute the generation of the Report and have the Report copied to the daily config/documented solution

Obtaining and configuring the MIM Configuration Documenter

Download the MIM Configuration Documenter from here and extract it to somewhere like c:\FIMDoco on your FIM/MIM Sync Server. In this example in my Dev environment I have the MIM Sync and Service/Portal all on a single server.

Then update the Invoke-Documenter-Contoso.ps1 (or whatever you’ve renamed the script to) to make the following changes;

  • Update the following lines for your version and include the new variable $schedulePath and add it to the $pilotConfig variable. Create the C:\FIMDoco\Customer and C:\FIMDoco\Customer\Dev directories (replace Customer with something appropriate.
######## Edit as appropriate ####################################
$schedulePath = Get-Date -format dd-MM-yyyy
$pilotConfig = "Customer\Dev\$($schedulePath)" # the path of the Pilot / Target config export files relative to the MIM Configuration Documenter "Data" folder.
$productionConfig = "MIM-SP1-Base_4.4.1302.0" # the path of the Production / Baseline config export files relative to the MIM Configuration Documenter "Data" folder.
$reportType = "SyncAndService" # "SyncOnly" # "ServiceOnly"
  • Remark out the Host Settings as these won’t work via a WebJob/Azure Function
#$hostSettings = (Get-Host).PrivateData
#$hostSettings.WarningBackgroundColor = "red"
#$hostSettings.WarningForegroundColor = "white"
  • Remark out the last line as this will be executed as part of the automation and we want it to complete silently at the end.
# Read-Host "Press any key to exit"

It should then look something like this;

Azure Function to Automate execution of the Documenter

As per my nightly backup process;

  • I configured my MIM Sync Server to accept Remote PowerShell Sessions. That involved enabling WinRM, creating a certificate, creating the listener, opening the firewall port and enabling the incoming port on the NSG . You can easily do all that by following my instructions here. From the same post I setup up the encrypted password file and uploaded it to my Function App and set the Function App Application Settings for MIMSyncCredUser and MIMSyncCredPassword.
  • I created an Azure PowerShell Timer Function App. Pretty much the same as I show in this post, except choose Timer.
    • I configured my Schedule for 6am every morning using the following CRON configuration
0 0 6 * * *
  • I also needed to increase the timeout for the Azure Function as generation of the files to execute the report and the time to execute the report exceed the default timeout of 5 mins in my environment (19 Management Agents). I increased the timeout to the maximum of 10 mins as detailed here. Essentially added the following to the host.json file in the wwwroot directory of my Function App.
 "functionTimeout": "00:10:00"

Azure Function PowerShell Timer Script (Run.ps1)

This is the Function App PowerShell Script that uses Remote PowerShell into the MIM Sync/Service Server to export the configuration using the Lithnet MIIS Automation and Microsoft FIM Automation PowerShell modules.

Note: If your MIM Service is on a different host you will need to install the Microsoft FIM Automation PowerShell Module on your MIM Sync Server and update the script below to change references to http://localhost:5725 to whatever your MIM Service host is.

Testing the Function App

With everything configured, manually running the Function App and checking the output window if you’ve configured everything correct will show success in the Logs as shown below. In this environment with 19 Management Agents it takes 7 minutes to run.

Running the Azure Function.PNG

The Report

The outcome everyday just after 6am is I have (via automation);

  • an Export of the Policy and Schema Configuration from my MIM Service
  • an Export of the MIM Sync Server Configuration (the Metaverse and all Management Agents)
  • I have the MIM Configuration Documenter Report generated
  • If I need to rollback changes I have the ability to do that on a daily interval (either for a MIM Service change or an individual Management Agent change

Under the c:\FIMDoco\Data\Customer\Dev\\Report directory is the HTML Configuration Report.

Report Output.PNG

Opening the report in a browser we have the configuration of the MIM Sync and MIM Service.



Provisioning Hybrid Exchange/Exchange Online Mailboxes with Microsoft Identity Manager


Working for Kloud all our projects involve Cloud services, and all our customers have varying and unique requirements. Recently one of our customers embarked on their migration from On-Premise Exchange to Exchange Online. Nothing really groundbreaking there though, however they had a number of unique requirements including management of Litigation Hold. And that needed to be integrated with their existing Microsoft Identity Manager implementation (that currently provisions new users to their Exchange 2013 environment). They also required that management of the Exchange environment still be possible via the Exchange Management Console against a local Exchange server. This post details how I integrated the environments using MIM.


In order to integrate the Provisioning and Lifecycle management of Exchange Online Mailboxes in a Hybrid Exchange with Microsoft Identity Manager I created a custom PowerShell Management Agent simply because it was going to provide the flexibility I needed.

Provisioning is based on the following process;

  1. MIM Creates new user in Active Directory (no changes to existing MIM provisioning process)
  2. Azure Active Directory Connect synchronises the user to Azure Active Directory
  3. The Exchange Online MIM Management Agent sees the corresponding AAD account for the new user
  4. MIM Declarative Rules trigger the creation of a new Remote Mailbox for the AD/AAD user against the local Exchange 2013 On Premise Server. This allows the EMC to be used to manage mailboxes On Premise even though the mailbox resides in Office365/Exchange Online
  5. AADC/Exchange synchronises the information as part of the Hybrid Exchange topology
  6. MIM sees the EXO Mailbox configuration for the new user and enables Litigation Hold against the EXO Mailbox (if required)

The following diagram graphically depicts this process.

EXO IDM Provisioning Solution.png

Exchange Online PowerShell MA

As always I’m using my favourite PowerShell Management Agent, the Grandfeldt PS MA now available on Github here.

Schema Script

The Schema script configures the schema required for current and future EXO management requirements. The Schema is based on a single Object Class “MailUser” but pulls the information from a combination of Azure AD User and Exchange Online Mailbox object classes for an associated account. Azure AD User objects are prefixed by ‘AAD’. Non AAD prefixed attributes are EXO Mailbox attributes.

Import Script

The Import script connects to both Azure AD and Exchange Online to retrieve Azure AD User accounts and if present the associated mailbox for a user.

It retrieves all Member AAD User Accounts and puts them into a Hash Table. Connectivity to AAD is via the AzureADPreview PowerShell module. It retrieves all Mailboxes and puts them into a Hash Table. It then processes all the mailboxes first including the associated AAD User account (utilising a join via userPrincipalName).

Following processing all mailboxes the remainder of the AAD Accounts (without mailboxes) are processed.

Export Script

The Export script performs the necessary integration against OnPremise Exchange Server 2013 for Provisioning and Exchange Online for the rest of management. Both utilise Remote Powershell. It also leverages the Lithnet MIIS Automation PowerShell Module to query the Metaverse to validate current object statuses.

Wiring it all up

The scripts above will allow you to integrate a FIM/MIM implementation with AAD/EXO for management of users EXO Mailboxes. You’ll need connectivity from the MIM Sync Server to AAD/O365 in order to manage them.  Everything else I wired up using a few Sets, Workflows, Sync Rules and MPR’s.

Building a FIM/MIM Management Agent for xMatters


A couple of weeks ago one of my customers had a requirement to provision and manage identities into xMatters. The xMatters API Documentation looked straight-forward and I figured it would be pretty quick to knock up an PowerShell Management Agent.

The identification of users (People) in xMatters was indeed pretty quick. I was quickly able to enumerate all users (that had initially been seeded independent of FIM/MIM) and join them to corresponding users in the MetaVerse.

It was then as I started digging deeper that the relationship between Sites (Locations) and Email/Mobile (Devices) attributes became apparent. This post details how I approached it and a base xMatters MA that should get you started if you need to do something similar.


A key concept to keep in mind is that at the simplest level there are 3 key Object Types in xMatters;

  • People
    • User Objects along with basic naming attributes
  • Device
    • Each contact medium is a device. Email Address, Mobile Phone, Home Phone, Text Phone (SMS) etc.
  • Site
    • Location of the entity (person)

Associated with each is an id which can be either dynamically created on provisioning (by xMatters) or specified. For People there is also targetName which is the equivalent of UID/sAMAccountName. When using the API (for people) you can use either their ID or their targetName. For all other entities you need to use the ID.

For each entity as you’d expect there are different API URI’s. They are;

  • Base URI https://customer.hosted.xmatters.com
  • People URI https://customer.hosted.xmatters.com/api/xm/1/people
  • Devices URI https://customer.hosted.xmatters.com/api/xm/1/devices
  • Sites URI (legacy API) https://customer.hosted.xmatters.com/reapi/2015-04-01/sites

Finally to retrieve devices for a person use;

  • Devices associated with a person https://customer.hosted.xmatters.com/api/xm/1/people/{ID}/devices

Other key points to consider that I uncovered are;

  • if you are updating a Device (e.g. someones Email Address or Phone Number) don’t specify the owner attribute (as you do when you create the Device). It considers that you are trying to change the owner and won’t allow it.
  • to update a Device you need to know the ID of the Device. I catered for this on my Import by bringing through People and Device ID’s.
  • When creating/updating a users location you need to specify the Site ID and Site Name. I brought these through as a separate ObjectClass into FIM/MIM and query the MV for them when Exporting
  • In my initial testing the API returned a number of different errors 400 (Bad Request), 409 Conflict (when trying to Add a Device that already exists), 404 (Not Found) along with API Timeouts. You need to account for these and perform processing appropriately
  • On success of Update, Create or Delete the API returns the full object that you performed the operation on. You need to capture this and let MIM know that on Success a full object being returned is Success and not an error
  •  xMatters expects phone numbers to be in E164 format (e.g +61 400 123 456). I catered for this on an import on another Management Agent
  • xMatters timezone is in the format of Country/Region. For Australia these are as follows. Correct, it doesn’t accept Australia/Canberra for ACT;
    • “NSW”  = “Australia/Sydney”
      “VIC”  = “Australia/Melbourne”
      “QLD”  = “Australia/Brisbane”
      “ACT”  = “Australia/Sydney”
      “WA”  = “Australia/Perth”
      “TAS”  = “Australia/Hobart”
      “NT”  = “Australia/Darwin”

xMatters PowerShell Management Agent

With all that introduction, here is a base xMatters PowerShell MA (implemented using the Granfeldt PowerShell MA) to get you started. You’ll need to tailor for your environment and trigger Provisioning, Deletes and Flow Rules for your environment and look to handle the xMatters API for your integration.

Schema Script

I’ve created two Object Classes. User and Site. User incorporates User Devices. Site is the locations (Sites) from xMatters.

Import Script

Credentials for the Import script to connect to xMatters are flowed in from the Management Agent Username and Password attributes. This isn’t using Paged Imports. If you have a large number of users you may want to consider that. After retrieving all of the People entities each is queried to obtain their Devices. I’m only bringing through SMS and Email Devices. You’ll need to modify for additional Devices.

Ensure that you flow into the MetaVerse (onto custom attributes) the IDs associated with your Devices (e.g MobileID and EmailID). That will allow you to use the ID when updating those attributes.

For Sites, I created a custom ObjectClass (Site) in the MV and used objectID of the SiteID and displayName for the Site Name (as shown below).

Attribute Flows.png

Export Script

This is where it gets a little more complicated. As PowerShell is not good at reporting webrequest responses we have to deal with the return from each API call and determine if we were successful or not. Then let FIM/MIM know so it can report that via the UI.

The Export script below deals with Adding, Deleting and Updating users. Update line 31 for your API URI for xMatters.


The detail above will get you started and give you a working Management Agent to import Users and Sites. You’ll need to do the usual steps (Set, Workflow, Sync Rule and MPR) to trigger Provisioning on the MA along with how you handle deletes.

Graphically Visualizing Identity Hierarchy and Relationships

Almost 15 years ago Microsoft released Microsoft Identity Integration Server (MIIS) 2003. Microsoft also released a couple of Resource Toolkits for MIIS to assist customers and IT Integrators’ implement the product as up to that time it’s predecessor (Microsoft Metadirectory Services) was only available as part of a Microsoft Consulting engagement.

At the same time Microsoft provided a Beta product – Microsoft PolyArchy Server. For someone who’s brain is wired in highly visually way, this was a wow moment. PolyArchy Server took a dataset from the Synchronisation Server and wrapped a small IIS website around it to expose intersecting relationships between data. When you selected a datapoint the visual would flip to the new context and display a list of entities associated with that relationship.

Microsoft proposed to deliver PolyArchy Server in calendar year 2006. However the product never made it to market. The concept of visualizing identity data was seeded in my brain and something I’ve always surfaced in one method or another as part of many Identity Management projects.

In this post I’ll detail how I’ve recently used Power BI to visualize relationship data from Microsoft Identity Manager.  The graphic below is an example (with node labels turned off) that represents Managers by Department by State.

Managers by Dept by State - Graphical.png

Using filters in the same report allows whoever is viewing the report to refine the visual based on State and Dept. By selecting a State from the map the visual will dynamically update to show that state only. Selecting a department only will show that department in each state.

Managers by Dept by State - Filtered.png

Hovering over the nodes will display the detail. I’ve turned off the node labels that show each nodes label to not expose the source of my dataset.

Managers by Dept by State - NSW Detail.png

Getting MIM MV User MetaData into Power BI

My recent post here details the necessary steps to get started publishing data directly in a Power BI Dataset using PowerShell. Follow the details listed there to register a Power BI Application.

Creating the DataSet

With that done the script below will create a DataSet in Power BI. My dataset is obviously specific to the environment I developed it in. You probably won’t have some of the attributes so you will need to update accordingly. The script is desinged to run on the MIM Sync Server. The MIM Sync Server will need to be able to connect to Azure and Power BI.

Publish data to the DataSet

Now that we have a Power BI DataSet (Table) we need to extract the data from the MIM MV and push it into the table. Using the Lithnet MIIS Automation PowerShell Module makes this extremely simple. Using the table schema created above I retrieve the values for each Active User, build a PowerShell Object and use the Power BI PowerShell Module to push the data to Power BI.

Creating the Power BI Visualization

The visualisation I’m using is the Journey Chart by MAQ Software which is available in the Power BI Store (free).

Journey Visual.PNG

With the Journey Visualization selected and dropped in we just have to select the attributes we want to visualize and the order of the relationships. The screenshot below shows the data sorted by State => managerName => accountName with Measure Data being accountName.

Visual Config.PNG


We never got PolyArchy Server from Microsoft, but we can quickly visualize basic relationship data from MIM with Power BI.

Automate the update of the data into Power BI, embed the Power BI Reports into your MIM Portal and provide access to the appropriate personnel.


A modern way to track FIM/MIM Attribute Value History utilizing Power BI


Microsoft Identity Manager is fantastic for keeping data consistent between connected systems. Often however you want to know what a previous value of an attribute was. FIM/MIM however can only tell you the current value and the Management Agent it was received on and when.

In the past where I’ve had to provide a solution to either make sure an attribute has a unique value forever (e.g email address or loginID (don’t reuse email addresses or loginID)) or just attribute value history I’ve used two different approaches;

  • Store previous values in an SQL Table and have an SQL MA that flows out the values
  • Store historical values in a Multi-Valued attribute on the user object in the Metaverse

Both are valid approaches but often fall down when you want to quickly get a report on that metadata.

Recently we had a similar request to be able to know when Employees EndDates were updated in HR. Specifically useful for contractors who have their contracts extended. Instead of stuffing the info into a Multi-Valued attribute or an SQL DB this time I used Power BI. This provides the benefit of being able to quickly develop a graphical report and embed it in the FIM/MIM Portal.

Such a report looks like the screenshot below. Power BI Report

Using the filters on the right hand side of the report you can find a user (by EmployeeID or DisplayName), select them and see attribute value history details for that user in the main part of the report. As per the screenshot below Andrew’s EndDate was originally the 8th of December (as received on the 5th of November), but was changed to the 24th of November on the 13th of November.

End Date History

In this Post I describe how I quickly built the solution.


The process to do this involves;

  • creating a Power BI Application
  • creating a Power BI Dataset
  • creating a script to retrieve the data from the MV and inject it into the Power BI Dataset
  • creating a Power BI Report for the data
  • embedding the Report in the MIM Portal

Registering a Power BI Application

Head over to Power BI for Developers and Register an Application for Power BI. Login to Power BI with an account for the tenant you’ll be reporting data for. Give your Application a name and choose Native Application. Set the Redirect URL to https://localhost


Choose the permissions for you Application. As we’ll be writing data into Power BI you’ll need a minimum of Read and Write all Datasets. Select Register App.

Create PBI App Permissions

Record your Client ID for your Application. We’ll need this to connect to Power BI.

Register the App

We need to authenticate to Power BI the first time using a UI to provide Authorization for our Application. In order to do that we need to add another Reply URL to our application. Head to the Apps Dev Portal, select your application and Edit the Application Manifest. Add an additional Reply URL for https://login.live.com/oauth20_desktop.srf as shown below.

Add Reply URL for AuthZ

The following PowerShell commands will then allow us to Authenticate utilizing the Power BI PowerShell module. If you don’t have the Power BI PowerShell Module installed un-comment Install-Module PowerBIPS -RequiredVersion -Force  to install the PowerShell Power BI PowerShell Module.

Update for your Client ID for the App you registered in the previous steps.

# Install-Module PowerBIPS -RequiredVersion -Force
Import-Module PowerBIPS -RequiredVersion

# PowerBI App
$clientID = "4036df76-4de6-43cb-afe6-1234567890"

$authtoken = Get-PBIAuthToken -ClientId $clientID

Sign in with an account for the Tenant where you created the Power BI App.

Interactive Login for Dataset Creation

Accept the permissions you chose when registering the Power BI App.

Authorize PowerBI App

Creating the Power BI Dataset

Now we will create the Power BI Table (Dataset) that we will use when we insert the records.

My table is named Employee and the DataSet EmployeeEndDateReport.  I’m keeping the table slim to enough info for our purpose. Date added to the dataset, employees Accountname, Displayname, Active state, EndDate and EndDateReceived. The following script will create the Dataset.

Populating the Dataset

With our table created, lets populate the table with employees that have an EndDate. As this is the first time we run it, we set a watermark date to add people from. I’ve gone with the previous year.  I then query the MV for Employees with an EndDate within the last 365 days, build a PowerShell Object with the columns from our table and insert them into Power BI. I also set a watermark of the last time we had an EndDate Received from the MA and output that to the watermark file. This is so next time we can quickly get only users that have an EndDate that was received since the last time we ran the process.

NOTE: for full automation you’ll need to change line 6 for your secure method of choice of providing credentials to scripts. 

Create a Power BI Report

Now in Power BI select your Data Set and design your report. Here is a sample one that I’ve put together. I simply selected the columns from the dataset and updated the look and feel. I then added in a column (individually for AccountName, DisplayName and Active) and chose it as Filter so that I have various ways of filtering whoever I’m looking for.

Power BI Report.png

Once you have run the process for a while and you have changed values for the attribute you are keeping history for, you will see when you select a user with changed values, you will see the history.

End Date History


To complete the solution you’ll want to automate the script that queries the MV for changes (probably after each run from the MA that provides the attribute you are recording history for), and you’ll want to embed the report in the MIM Portal. In this post here I detail how to do that step by step.



Display Microsoft Identity Manager Sync Engine Statistics in the MIM Portal


In the Microsoft / Forefront Identity Manager Synchronization Service Manager under Tools we have a Statistics Report. This gives a break down of each of the Management Agents and the Connectors on each MA.

I had a recent requirement to expose this information for a customer but I didn’t want them to have to connect to the Synchronization Server (and be given the permissions to allow them to). So I looked into another way of providing a subset of this information in the MIM Portal itself.  This post details that solution.

MIM / FIM Synchronization Server Management Agent & Metaverse Statistics
MIM / FIM Synchronization Server Management Agent & Metaverse Statistics


I approached this in a similar way I did for the User Object Report I recently developed. The approach is;

  • Azure PowerShell Function App that uses Remote PowerShell to connect to the MIM Sync Server and leverage the Lithnet MIIS Automation PowerShell Module to enumerate all Management Agents and build a report on the information required in the report
  • A NodeJS WebApp calls the Azure PowerShell Function App onload to generate the report and display it
  • The NodeJS WebApp is embedded in the MIM Portal as a new Nav Bar Resource and Page

The graphic below details the basic logical integration.



The prerequisites to perform this I’ve covered in other posts. In concept as described above it is similar to the User Object report, that has the same prerequisites and I did a pretty good job on detailing those here. To implement this then that post is the required reading to get you ready.

Azure PowerShell Function App

Below is the raw script from my Function App that connects to the MIM Sync Server and retrieves the Management Agent Statistics for the report.

NodeJS Web App

The NodeJS Web App is the app that gets embedded in the MIM Portal that calls the Azure Function to retreive the data and then display it. To get started you’ll want to start with a based NodeJS WebApp. This post will get you started. Implementing a NodeJS WebApp using Visual Studio Code 

The only extension I’m using on top of what is listed there is JQuery. So once you have NodeJS up and running in your VSCode Terminal type npm install jquery and then npm install.

I’ve kept it simple and contained all in a single HTML file using JQuery.

In you NodeJS project you will need to reference your report.html file. It should look like this (assuming you name your report report.html)

var express = require('express');
var router = express.Router();
/* GET - Report page */
router.get('/', function(req, res, next) {
   res.sendFile('report.html', { root:'./public'});

module.exports = router;

The Embedded Report

This is what my report looks like embedded in the MIM Portal.

Microsoft Identity Manager Statistics Report
Microsoft Identity Manager Statistics Report


Integration of FIM / MIM with Azure Platform as a Service Services opens a world of functionality including the ability to expose information that was previously only obtainable by the FIM / MIM Administrator.