Exploring Azure AD Privileged Identity Management (PIM) – Part 1

Exploring Azure AD Privileged Identity Management (PIM) – Part 1

We’re going to take a break from Azure Information Protection and shift our focus to Azure Active Directory Privileged Identity Management (AAD PIM).

If you’ve ever had to manage an application, you’re familiar with the challenge of trying to keep a balance between security and usability when it comes to privileged access.  In many cases you’re stuck with users that have permanent membership in privileged roles because the impact to usability of the application is far too great to manage that access on an “as needed basis” or as we refer to it in the industry “just in time” (JIT).   If you do manage to remove that permanent membership requirement (often referred to as standing privileged access) you’re typically stuck with a complicated automation solution or a convoluted engineering solution that gives you security but at the cost of usability and increasing operational complexity.

Not long ago the privileged roles within Azure Active Directory (AAD), Office 365 (O365), and Azure Role-Based Access Control had this same problem.  Either a user was a permanent member of the privileged role or you had to string together some type of request workflow that interacted with the Graph API or triggered a PowerShell script.  In my first entry into Azure AD, I had a convoluted manual process which involved requests, approvals, and a centralized password management system.  It worked, but it definitely impacted productivity.

Thankfully Microsoft (MS) has addressed this challenge with the introduction of Azure AD Privileged Identity Management (AAD PIM).  In simple terms AAD PIM introduces the concept of an “eligible” administrator which allows you to achieve that oh so wonderful JIT.  AAD PIM is capable of managing a wide variety of roles which is another area Microsoft has made major improvements on.  Just a few years ago close to everything required being in the Global Admin role which was a security nightmare.

In addition to JIT, AAD PIM also provides a solid level of logging and analytics, a centralized view into what users are members of privileged roles, alerting around the usage of privileged roles, approval workflow capabilities (love this feature), and even provides an access review capability to help with access certification campaigns.  You can interact with AAD PIM through the Azure Portal, Graph API, or PowerShell.

To get JIT you’ll need an Azure Active Directory Premium P2 or Enteprise Mobility and Security E5 license.  Microsoft states that every use that benefits from the feature requires a license.  While this is a licensing requirement, it’s not technically enforced as we see in my upcoming posts.

You’re probably saying, “Well this is all well and good Matt, but there is nothing here I couldn’t glean from Microsoft documentation.”  No worries my friends, we’ll be using this series to walk to demonstrate the capabilities so you can see them in action.  I’ll also be breaking out my favorite tool Fiddler to take a look behind the scenes of how Microsoft manages to elevate access for the user after a privileged role has been activated.

 

The Evolution of AD RMS to Azure Information Protection – Part 7 – Deep Dive into cross Azure AD tenant consumption

The Evolution of AD RMS to Azure Information Protection – Part 7 – Deep Dive into cross Azure AD tenant consumption

Each time I think I’ve covered what I want to for Azure Information Protection (AIP), I think of another fun topic to explore.  In this post I’m going to look at how AIP can be used to share information with users that exist outside your tenant.  We’ll be looking at the scenario where an organization has a requirement to share protected content with another organization that has an Office 365 tenant.

Due to my requirements to test access from a second tenant, I’m going to supplement the lab I’ve been using.  I’m adding to the mix my second Azure AD tenant at journeyofthegeek.com.  Specific configuration items to note are as follows:

  • The tenant’s custom domain of journeyofthegeek.com is an Azure AD (AAD)-managed domain.
  • I’ve created two users for testing.  The first is named Homer Simpson (homer.simpson@journeyofthegeek.com) and the second is Bart Simpson (bart.simpson@journeyofthegeek.com).
  • Each user have been licensed with Office 365 E3 and Enterprise Mobility + Security E5 licenses.
  • Three mail-enabled security groups have been created.  The groups are named The Simpsons (thesimpsons@journeyofthegeek.com), JOG Accounting (jogaccounting@journeyofthegeek.com), and JOG IT (jogit@journeyofthegeek.com).
  • Homer Simpson is a member of The Simpsons and JOG Accounting while Bart Simpson is a member of The Simpsons and JOG IT.
  • Two additional AIP policies have been created in addition to the Global policy.  One policy is named JOG IT and one is named JOG Accounting.
  • The Global AIP policy has an additional label created named PII that enforces protection.  The label is configured to detect at least one occurrence of a US social security number.  The document is protection policy allows only members of the The Simpsons group to the role of viewer.
  • The JOG Accounting and JOG IT AIP policies have both been configured with an additional label of either JOG Accounting or JOG IT.  A sublabel for each label has also been created which enforces protection and restricts members of the relevant departmental group to the role of viewer.
  • I’ve repurposed the GIWCLIENT2 machine and have created two local users named Bart Simpson and Homer Simpson.

Once I had my tenant configuration up and running, I initialized Homer Simpson on GIWCLIENT2.  I already had the AIP Client installed on the machine, so upon first opening Microsoft Word, the same bootstrapping process I described in my previous post occurred for the MSIPC client and the AIP client.  Notice that the document has had the Confidential \ All Employees label applied to the document automatically as was configured in the Global AIP policy.  Notice also the Custom Permissions option which is presented to the user because I’ve enabled the appropriate setting in the relevant AIP policies.

7aip1.png

I’ll be restricting access to the document by allowing users in the geekintheweeds.com organization to hold the Viewer role.  The geekintheweeds.com domain is associated with my other Azure AD tenant that I have been using for the lab for this series of posts.  First thing I do is change the classification label from Confidential \ All Employees to General.  That label is a default label provided by Microsoft which has an RMS Template applied that restricts viewers to users within the tenant.

One interesting finding I discovered through my testing is that the user can go through the process of protecting with custom permissions using a label that has a pre-configured template and the AIP client won’t throw any errors, but the custom permissions won’t be applied.  This makes perfect sense from a security perspective, but it would be nice to inform the user with an error or warning.  I can see this creating unnecessary help desk calls with how it’s configured now.

When I attempt to change my classification label to General, I receive a prompt requiring me to justify the drop in classification.  This is yet another setting I’ve configured in my Global AIP policy.  This seems to be a standard feature in most data classification solutions from what I’ve observed in another major vendor.

7aip2.png

After successfully classifying the document with the General label protection is removed from the document. At this point I can apply my custom permissions as seen below.

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I repeated the process for another protected doc named jog_protected_for_Ash_Williams.docx with permissions restricted to ash.williams@geekintheweeds.com.  I packaged both files into an email and sent them to Ash Williams who is a user in the Geek In The Weeds tenant.  Keep in mind the users in the Geek In The Weeds tenant are synchronized from a Windows Active Directory domain and use federated authentication.

After opening Outlook the message email from Homer Simpson arrives in Ash William’s inbox.   At this point I copied the files to my desktop, closed Outlook, opened Microsoft Word and used the “Reset Settings” options of the AIP client, and signed out of my Office profile.

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At this point I started Fiddler and opened one of the Microsoft Word document. Microsoft Word pops-up a login prompt where I type in my username of ash.williams@geekintheweeds.com and I’m authenticated to Office 365 through the standard federated authentication flow. The document then pops open.

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Examining the Fiddler capture we see a lot of chatter. Let’s take a look at this in chunks, first addressing the initial calls to the AIP endpoint.

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If you have previous experience with the MSIPC client in the AD RMS world you’ll recall that it makes its calls in the following order:

  1. Searches HKLM registry hive
  2. Searches HKCU registry hive
  3. Web request to the RMS licensing pipeline for the RMS endpoint listed in the metadata attached to the protected document

In my previous deep dives into AD RMS we observed this behavior in action.  In the AIP world, it looks like the MSIPC client performs similarly.  The endpoint we see it first contacting is the Journey of the Geek which starts with 196d8e.

The client first sends an unauthenticated HTTP GET to the Server endpoint in the licensing pipeline. The response the server gives is a list of available SOAP functions which include GetLicensorCertificate and GetServerInfo as seen below.

7aip8.png

The client follows up the actions below:

  1. Now that the client knows the endpoint supports the GetServerInfo SOAP function, it sends an unauthenticated HTTP POST which includes the SOAP action of GetServerInfo.  The AIP endpoint returns a response which includes the capabilities of the AIP service and the relevant endpoints for certification and the like.
  2. It uses that information received from the previous request to send an unauthenticated HTTP POST which includes the SOAP action of ServiceDiscoveryForUser.  The service returns a 401.

At this point the client needs to obtain a bearer access token to proceed.  This process is actually pretty interesting and warrants a closer look.

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Let’s step through the conversation:

  1. We first see a connection opened to odc.officeapps.live.com and an unauthenticated HTTP GET to the /odc/emailhrd/getfederationprovider URI with query strings of geekintheweeds.com.  This is a home realm discovery process trying to the provider for the user’s email domain.

    My guess is this is MSAL In action and is allowing support for multiple IdPs like Azure AD, Microsoft Live, Google, and the like.  I’ll be testing this theory in a later post where I test consumption by a Google user.

    The server responds with a number of headers containing information about the token endpoints for Azure AD (since this is domain associated with an Azure AD tenant.)

    7aip10.png

  2. A connection is then opened to odc.officeapps.live.com and an unauthenticated HTTP GET to the /odc/emailhrd/getidp with the email address for my user ash.williams@geekintheweeds.com. The response is interesting in that I would have thought it would return the user’s tenant ID. Instead it returns a JSON response of OrgId.

    7aip11.png

    Since I’m a nosey geek, I decided to unlock the session for editing.  First I put in the email address associated with a Microsoft Live.  Instead of OrgId it returned MSA which indicates it detects it as being a Microsoft Live account.  I then plugged in a @gmail.com account to see if I would get back Google but instead I received back neither.  OrgId seems to indicate that it’s an account associated with an Azure AD tenant.  Maybe it would perform alternative steps depending on whether it’s MSA or Azure AD in future steps?  No clue.

  3. Next, a connection is made to oauth2 endpoint for the journeyofthegeek.com tenant. The machine makes an unathenticated requests an access token for the https://api.aadrm.com/ in order to impersonate Ash Williams. Now if you know your OAuth, you know the user needs to authenticate and approve the access before the access token can be issued. The response from the oauth2 endpoint is a redirect over to the AD FS server so the user can authenticate.

    7aip12.png

  4. After the user successfully authenticates, he is returned a security token and redirected back to login.microsoftonline.com where the assertion is posted and the user is successfully authenticated and is returned an authorization code.

    7aip13.png

  5. The machine then takes that authorization code and posts it to the oauth2 endpoint for my journeyofthegeek.com tenant. It receives back an Open ID Connect id token for ash.williams, a bearer access token, and a refresh token for the Azure RMS API.

    7aip14.png

    Decoding the bearer access token we come across some interesting information.  We can see the audience for the token is the Azure RMS API, the issuer of the token is the tenant id associated with journeyofthegeek.com (interesting right?), and the identity provider for the user is the tenant id for geekintheweeds.com.

    7aip15.png

  6. After the access token is obtained the machine closes out the session with login.microsoftonline.com and of course dumps a bunch of telemetry (can you see the trend here?).

    7aip16.png

  7. A connection is again made to odc.officeapps.live.com and the /odc/emailhrd/getfederationprovider URI with an unauthenticated request which includes a query string of geekintheweeds.com. The same process as before takes place.

Exhausted yet?  Well it’s about to get even more interesting if you’re an RMS nerd like myself.

7aip17.png

Let’s talk through the sessions above.

  1. A connection is opened to the geekintheweeds.com /wmcs/certification/server.asmx AIP endpoint with an unauthenticated HTTP POST and a SOAP action of GetServerInfo.  The endpoint responds as we’ve observed previously with information about the AIP instance including features and endpoints for the various pipelines.
  2. A connection is opened to the geekintheweeds.com /wmcs/oauth2/servicediscovery/servicediscovery.asmx AIP endpoint with an unauthenticated HTTP POST and a SOAP action of ServiceDiscoveryForUser.  We know from the bootstrapping process I covered in my last post, that this action requires authentication, so we see the service return a 401.
  3. A connection is opened to the geekintheweeds.com /wmcs/oauth2/certification/server.asmx AIP endpoint with an unauthenticated HTTP POST and SOAP action of GetLicensorCertificate.  The SLC and its chain is returned to the machine in the response.
  4. A connection is opened to the geekintheweeds.com /wmcs/oauth2/certification/certification.asmx AIP endpoint with an unauthenticated HTTP POST and SOAP action of Certify.  Again, we remember from my last post that this requires authentication, so the service again responds with a 401.

What we learned from the above is the bearer access token the client obtained earlier isn’t attended for the geekintheweeds.com AIP endpoint because we never see it used.  So how will the machine complete its bootstrap process?  Well let’s see.

  1. A connection is opened to the journeyofthegeek.com /wmcs/oauth2/servicediscovery/servicediscovery.asmx AIP endpoint with an unauthenticated HTTP POST and SOAP action of ServiceDiscoveryForUser.  The service returns a 401 after which the client makes the same connection and HTTP POST again, but this time including its bearer access token it retrieved earlier.  The service provides a response with the relevant pipelines for the journeyofthegeek.com AIP instance.
  2. A connection is opened to the journeyofthegeek.com /wmcs/oauth2/certification/server.asmx AIP endpoint with an authenticated (bearer access token) HTTP POST and SOAP action of GetLicensorCertificate.  The service returns the SLC and its chain.
  3. A connection is opened to the journeyofthegeek.com /wmcs/oauth2/certification/certification.asmx AIP endpoint with an authenticated (bearer access token) HTTP POST and SOAP action of Certify.  The service returns a RAC for the ash.williams@geekintheweeds.com along with relevant SLC and chain.  Wait what?  A RAC from the journeyofthegeek.com AIP instance for a user in geekintheweeds.com?   Well folks this is supported through RMS’s support for federation.  Since all Azure AD’s in a given offering (commercial, gov, etc) come pre-federated, this use case is supported.
  4. A connection is opened to the journeyofthegeek.com /wmcs/licensing/server.asmx AIP endpoint with an uauthenticated HTTP POST and SOAP action of GetServerInfo.  We’ve covered this enough to know what’s returned.
  5. A connection is opened to the journeyofthegeek.com /wmcs/licensing/publish.asmx AIP endpoint with an authenticated (bearer access token) HTTP POST and SOAP action of GetClientLicensorandUserCertificates.  The server returns the CLC and EUL to the user.

After this our protected document opens in Microsoft Word.

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Pretty neat right? Smart move by Microsoft to take advantage and build upon of the federated capabilities built into AD RMS. This is another example showing just how far ahead of their game the product team for AD RMS was. Heck, there are SaaS vendors that still don’t support SAML, let alone on-premises products from 10 years ago.

In the next few posts (can you tell I find RMS fascinating yet?) of this series I’ll explore how Microsoft has integrated AIP into OneDrive, SharePoint Online, and Exchange Online.

Have a great week!

The Evolution of AD RMS to Azure Information Protection – Part 4 – Preparation and Server-Side Migration

The Evolution of AD RMS to Azure Information Protection – Part 4 – Preparation and Server-Side Migration

The time has finally come to get our hands dirty.  Welcome to my fourth post on the evolution of Active Directory Rights Management Service (AD RMS) to Azure Information Protection (AIP).  So far in this series I’ve done an overview of the service, a comparison of the architectures, and covered the key planning decisions that need to place when migrating from AD RMS to AIP.  In this post I’ll be performing the preparation and server-side migration steps for the migration from AD RMS to AIP.

Microsoft has done a wonderful job documenting the steps for the migration from AD RMS to AIP within the migration guide.  I’ll be referencing back to the guide as needed throughout the post.  Take a look at my first post for a refresher of my lab setup.  Take note I’ll be migrating LAB2 and will be leaving LAB1 on AD RMS.  Here are some key things to remember about the lab:

  • There is a forest trust between the JOG.LOCAL and GEEKINTHEWEEDS.COM Active Directory Forests
  • AD RMS Trusted User Domains (TUDs) have been configured on both JOG.LOCAL and GEEKINTHEWEEDS.COM

I’ve created the following users, groups, and AD RMS templates (I’ve been on an 80s/90s movies fix, so enjoy the names).

  • GEEKINTHEWEEDS.COM CONFIGURATION
    • (User) Jason Voorhies
      • User Principal Name Attribute: jason.voorhies@geekintheweeds.com
      • Mail Attribute: jason.voorhies@geekintheweeds.com
      • Group Memberships: Domain Users, GIW Employees, Information Technology
    • (User) Theodore Logan
      • User Principal Name Attribute: theodore.logan@geekintheweeds.com
      • Mail Attribute: theodore.logan@geekintheweeds.com
      • Group Memberships: Domain Users, GIW Employees, Information Technology
    • (User) Ash Williams
      • User Principal Name Attribute: jason.voorhies@geekintheweeds.com
      • Mail Attribute: ash.williams@geekintheweeds.com
      • Group Memberships: Domain Users, GIW Employees, Accounting
    • (User) Michael Myers
      • User Principal Name Attribute: michael.myers@geekintheweeds.com
      • Mail Attribute: michael.myers@geekintheweeds.com
      • Group Memberships: Domain Users, GIW Employees, Accounting
    • (Group) Accounting
      • Mail Attribute: giwaccounting@geekintheweeds.com
      • Group Type: Universal Distribution
    • (Group) GIW Employees
      • Mail Attribute: giwemployees@geekintheweeds.com
      • Group Type: Universal Distribution
    • (Group) Information Technology
      • Mail Attribute: giwit@geekintheweeds.com
      • Group Type: Universal Distribution
    • (Group) GIW AIP Users
      • Group Type: Global Security
    • (AD RMS Template) GIW Accounting
      • Users: giwaccounting@geekintheweeds.com
      • Rights: Full Control
    • (AD RMS Template) GIW Employees
      • Users: giwemployees@geekintheweeds.com
      • Rights: View, View Rights
    • (AD RMS Template) GIW IT
      • Users: giwit@geekintheweeds.com
      • Rights: Full Control
  • JOG.LOCAL CONFIGURATION

    • (User) Luke Skywalker
      • User Principal Name Attribute: luke.skywalker@jog.local
      • Mail Attribute: luke.skywalker@jog.local
      • Group Memberships: Domain Users, jogemployees
    • (User) Han Solo
      • User Principal Name Attribute: han.solo@jog.local
      • Mail Attribute: han.solo@jog.local
      • Group Memberships: Domain Users, jogemployees
    • (Group) jogemployees
      • Mail Attribute: jogemployees@jog.local
      • Group Type: Universal Distribution

After my lab was built I performed the following tests:

  • Protected Microsoft Word document named GIW_LS_ADRMS with GEEKINTHEWEEDS.COM AD RMS Cluster and successfully opened with Luke Skywalker user from JOG.LOCAL client machine.
  • Protected Microsoft Word document named GIW_GIWALL_ADRMS with GEEKINTHEWEEDS.COM AD RMS Cluster and GIW Employees template and unsuccessfully opened with Luke Skywalker user from JOG.LOCAL client machine.
  • Protected Microsoft Word document named GIW_JV_ADRMS with GEEKINTHEWEEDS.COM AD RMS Cluster using Theodore Logan user and opened successfully with Jason Voorhies user from GEEKINTHEWEEDS.COM client machine.
  • Protected Microsoft Word document named JOG_MM_ADRMS with JOG.LOCAL AD RMS Cluster using Luke Skywalker user and opened successfully with Michael Myers user from GEEKINTHEWEEDS.COM client machine.
    Protected Microsoft Word document named GIW_ACCT_ADRMS with GEEKINTHEWEEDS.COM AD RMS Cluster and GIW Accounting template and was unsuccessful in opening with Jason Voorhies user from GEEKINTHEWEEDS.COM client machine.

These tests verified both AD RMS clusters were working successfully and the TUD was functioning as expected.  The lab is up and running, so now it’s time to migrate to AIP!

Our first step is to download the AADRM PowerShell module from Microsoft.  I went the easy route and used the install-module cmdlet.

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Back in March Microsoft announced that AIP would be enabled by default on any eligible tenants with O365 E3 or above that were added after February.  Microsoft’s migration guide specifically instructs you to ensure protection capabilities are disabled if you’re planning a migration from AD RMS to AIP.  This means we need to verify that AIP is disabled.  To do that, we’re going to use the newly downloaded AADRM module to verify the status.

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As expected, the service is enabled.  We’ll want to disable the service before beginning the migration process by running the Disable-Aadrm cmdlet.  After running the command, we see that the functional state is now reporting as disabled.

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While we have the configuration data up we’re going to grab the value (minus _wmcs/licensing) in the  LicensingIntranetDistributionPointUrl property.  We’ll be using this later on in the migration process.

In most enterprise scenarios you’d want to perform a staged migration process of your users from AD RMS to AIP.  Microsoft provides for this with the concept of onboarding controls.  Onboarding controls allow you to manage who has the ability to protect content using AIP even when the service has been enabled at the tenant level.  Your common use case would be creating an Azure AD-managed or Windows AD-synced group which is used as your control group.  Users who are members of the group and are licensed appropriately would be able to protect content using AIP.  Other users within the tenant could consume the content but not protect it.

In my lab I’ll be using the GIW AIP Users group that is being synchronized to Azure AD from my Windows AD as the control group.  To use the group I’ll need to get its ObjectID which is the object’s unique identifier in Azure AD.  For that I used the Get-AzureADGroup cmdlet within Azure AD PowerShell module.

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Microsoft’s migration guide next suggests come configuration modifications to Windows computers within the forest.  I’m going to hold off on this for now and instead begin the server-side migration steps.

First up we’re going to export the trusted publisher domains (TPDs) from the AD RMS cluster.  We do this to ensure that users that have migrated over to AIP are still able to open content that was previously protected by the AD RMS cluster.  The TPD includes the Server Licensor Certificate (SLC) keys so when exporting them we protect them with a password and create an XML file that includes the SLC keys and any custom AD RMS rights policy templates.

AIP4PIC7.png

Next we import the exported TPD to AIP using the relevant process based upon how we chose to protect the cluster keys.  For this lab I used a software key (stored in the AD RMS database) so I’ll be using the software key to software key migration path.  Thankfully this path is quite simple and consists of running another cmdlet from the AADRM PowerShell module.  In the first command we store the password used to protect the TPD file as a secure string and use the Import-AadrmTpd cmdlet to pull it into AIP.  Notice the resulting data provides the cluster friendly name, indicates the Cryptographic Mode was set to 1, the key was a Microsoft-managed (aka software key) and there were three rights policy templates attached to the TPD.

Keep in mind that if you have multiple TPDs for some reason (let’s say you migrated from Cryptographic Mode 1 to Cryptographic Mode 2) you’ll need to upload each TPD separately and set the active TPD using the Set-AadrmKeyProperties cmdlet.

AIP4PIC8.png

Running a Get-AadrmTemplate shows the default templates Microsoft provides you with as well as the three templates I had configured in AD RMS.

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The last step of the server side of the process is to activate AIP.  For that we use the Enable-Aadrm cmdlet from the AADRM PowerShell module.

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At this point the server-side configuration steps have been completed and AIP is ready to go.  However, we still have some very important client-side configuration steps to perform.  We’ll cover those steps in my post.

Have a great week!

AWS and Microsoft’s Cloud App Security

AWS and Microsoft’s Cloud App Security

It seems like it’s become a weekly occurrence to have sensitive data exposed due to poorly managed cloud services.  Due to Amazon’s large market share with Amazon Web Services (AWS) many of these instances involve publicly-accessible Simple Storage Service (S3) buckets.  In the last six months alone there were highly publicized incidents with FedEx and Verizon.  While the cloud can be empowering, it can also be very dangerous when there is a lack of governance, visibility, and acceptance of the different security mindset cloud requires.

Organizations that have been in operation for many years have grown to be very reliant on the network boundary acting as the primary security boundary.  As these organizations begin to move to a software defined data center model this traditional boundary quickly becomes less and less effective.  Unfortunately for these organizations this, in combination with a lack of sufficient understanding of cloud, gives rise to mistakes like sensitive data being exposed.

One way in which an organization can protect itself is to leverage technologies such as cloud access security brokers (cloud security gateways if you’re Forrester reader) to help monitor and control data as it travels between on-premises and the cloud.  If you’re unfamiliar with the concept of a CASB, I covered it in a previous entry and included a link to an article which provides a great overview.

Microsoft has its own CASB offering called Microsoft Cloud App Security (CAS).  It’s offered as part of Microsoft’s Enterprise Mobility and Security (EMS) E5/A5 subscription.  Over the past several months multiple connectors to third party software-as-a-service (SaaS) providers have been introduced, including one for AWS.  The capabilities with AWS are limited at this point to pulling administrative logs and user information but it shows promise.

As per usual, Microsoft provides an integration guide which is detailed in button pushing, but not so much in concepts and technical details as to what is happening behind the scenes.  Since the Azure AD and AWS blog series has attracted so many views, I thought it would be fun and informative to do an entry for how Cloud App Security can be used with AWS.

I’m not in the habit of re-creating documentation so I’ll be referencing the Microsoft integration guide throughout the post.

The first thing that needs doing is the creation of a security principal in AWS Identity and Access Management (AWS IAM) that will be used by your tenant’s instance of CAS to connect to resources in your AWS account.   The first four steps are straightforward but step 5 could a bit of an explanation.

awscas1.pngHere we’re creating a custom IAM policy for the security principal granting it a number of permissions within the AWS account.  IAM policies are sets of permissions which are attached to a human or non-human identity or AWS resource and are evaluated when a call to the resource is made.  In the traditional on-premises world, you can think of it as something somewhat similar to a set of NTFS file permissions.  When the policy pictured above is created the security principal is granted a set of permissions across all instances of CloudTrail, CloudWatch, and IAM within the account.

If you’re unfamiliar with AWS services, CloudTrail is a service which audits the API calls made to AWS resources.  Some of the information included in the events include the action taken, the resource the action was taken upon, the security principal that made the action, the date time, and source IP address of the security principal who performed the action.  The CloudWatch service allows for monitoring of metrics and optionally triggering events based upon metrics reaching specific thresholds.  The IAM service is AWS’s identity store for the cloud management layer.

Now that we have a basic understanding of the services, let’s look at the permissions Microsoft is requiring for CAS to do its thing.  The CloudTrail permissions of DescribeTrails, LookupEvents, and GetTrailStatus allow CAS to query for all trails enabled on an AWS account (CloudTrail is enabled by default on all AWS resources), lookup events in a trail, and get information about the trail such as start and stop logging times.  The CloudWatch permissions of Describe* and Get* are fancy ways of asking for  READ permissions on CloudWatch resources.  These permissions include describe-alarms-history, describe alarms, describe-alarms-for-metric, get-dashboard, and get-metric-statistics.  The IAM permissions are similar to what’s being asked for in CloudWatch, basically asking for full read.

Step number 11 instructs us to create a new CloudTrail trail.  AWS by default audits all events across all resources and stores them for 90 days.  Trails enable you to direct events captured by CloudTrail to an S3 bucket for archiving, analysis, and responding to events.

awscas2.png

The trail created is consumed by CAS to read the information captured via CloudTrail.  The permissions requested above become a bit more clear now that we see CAS is requesting read access for all trails across an account for monitoring goodness.  I’m unclear as to why CAS is asking for read for CloudWatch alarms unless it has some integration in that it monitors and reports on alarms configured for an AWS account.  The IAM read permissions are required so it can pull user  information it can use for the User Groups capability.

After the security principal is created and a sample trail is setup, it’s time to configure the connector for CAS.  Steps 12 – 15 walk through the process.  When it is complete AWS now shows as a connected app.

awscas3.png

After a few hours data will start to trickle in from AWS.  Navigating to the Users and Accounts section shows all of the accounts found in the IAM instance for my AWS account.  Envision this as your one stop shop for identifying all of the user accounts across your many cloud services.  A single pane of glass to identity across SaaS.

awscas4.png

On the Activity Log I see all of the API activities captured by CloudTrail.  If I wanted to capture more audit information, I can enable CloudTrail for the relevant resource and point it to the trail I configured for CAS.  I haven’t tested what CAS does with multiple trails, but based upon the permissions we configured when we setup the security principal, it should technically be able to pull from any trail we create.

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Since the CAS and AWS integration is limited to pulling logging information, lets walk through an example of how we could use the data.  Take an example where an organization has a policy that the AWS root user should not be used for administrative activities due to the level of access the account gets by default.  The organization creates AWS IAM users accounts for each of its administrators who administer the cloud management layer.  In this scenario we can create a new policy in CAS to detect and alert on instances where the AWS root user is used.

First we navigate to the Policies page under the Control section of CAS.

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On the Policies page we’re going to choose to create a new policy settings in the image below.  We’ll designate this as a high severity privileged account alert.  We’re interested in knowing anytime the account is used so we choose the Single Activity option.

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We’ll pretend we were smart users of CAS and let it collect data for a few weeks to get a sampling of the types of events which are captured and to give us some data to analyze.  We also went the extra mile and leveraged the ability of CAS to pull in user information from AWS IAM such that we can choose the appropriate users from the drop-down menus.

Since this is a demo and my AWS lab has a lot of activity by the root account we’re going to limit our alerts to the creation of new AWS IAM users.  To do that we set our filter to look for an Activity type equal to Create user.  Our main goal is to capture usage of the root account so we add another filter rule that searches for a User with the name equal to aws root user where it is the actor in an event.

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Finally we configure the alert to send an email to the administrator when the event occurs.  The governance capabilities don’t come into play in this use case.

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Next we jump back to AWS and create a new AWS IAM user named testuser1.  A few minutes after the user is created we see the event appearing in CloudTrail.

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After a few minutes, CAS generates and alert and I receive an email seen in the image below.   I’m given information as to the activity, the app, the date and time it was performed, and the client’s IP address.

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If I bounce back to CAS I see one new Alert.  Navigating to the alert I’m able to dismiss it, adjust the policy that generated it, or resolve it and add some notes to the resolution.

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I also have the option to dig deeper to see some of the patterns of the user’s behavior or the pattern of the behaviors from a specific IP address as seen below.

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All this information is great, but what can we do with it?  In this example, it delivers visibility into the administrative activities occurring at the AWS cloud management layer by centralizing the data into a single repository which I can then send other data such as O365 activity, Box, SalesForces, etc.  By centralizing the information I can begin doing some behavioral analytics to develop standard patterns of behavior of my user base.  Understanding standard behavior patterns is key to being ahead of the bad guys whether they be insiders or outsiders.  I can search for deviations from standard patterns to detect a threat before it becomes too widespread.  I can also be proactive about putting alerts and enforcement (available for other app connectors in CAS but not AWS at this time) to stop the behavior before the threat is realized.  If I supplemented this data with log information from my on-premises proxy via Cloud App Discovery, I get an even larger sampling improving the quality of the data as well as giving me insight into shadow IT.  Pulling those “shadow” cloud solutions into the light allow me to ensure the usage of the services complies with organizational policies and opens up the opportunity of reducing costs by eliminating redundant services.

Microsoft categorizes the capabilities that help realize these benefits as the Discover and Investigate capabilities of CAS. The solution also offers a growing number of enforcement mechanisms (Microsoft categorized these enforcement mechanisms as Control) which add a whole other layer of power behind the solution.  Due to the limited integration with AWS I can’t demo those capabilities with this post.  I’ll cover those in a future post.

I hope this post helped you better understand the value that CASB/CSGs like Microsoft’s Cloud App Security can bring to the table.  While the product is still very new and a bit sparse on support with 3rd party applications, the list is growing every day. I predict the capabilities provided by technology such as Microsoft’s Cloud App Security will be as standard to IT as a firewall in the years to come.  If you’re already in Office 365 you should be ensuring you integrate these capabilities into your arsenal to understand the value they can bring to your business.

Thanks and have a wonderful week!