So the last few blogs posts have been really exciting and enlightening with a clear path for migration, unfortunately, we hit the part where things get a bit bleak in the migration path.
Users and permissions are very rich and granular in Splunk. The concept of namespaces are innovative and very useful when you have to carve out sub-administration tasks and data targeting.
There is no concept of namespaces in Azure Sentinel. There is no wide-spread ability to “hide” things with permissions in Sentinel. You can see some of the limited actions/roles that are available in the article Permissions in Azure Sentinel. That being said, there are some things that can be done, but they are really not a matching one to one of the security features in Splunk.
What might we want to carve out permission-wise? Here’s a simple list:
- Alerts / Incidents
- Tables / Schemas
Let’s take a look at each of these.
Queries are stored in various ways in Azure Sentinel. Since Log Analytics is the backing for Azure Sentinel, most of them will be saved into Log Analytics. When being stored, they can be simply stored directly via Log Analytics or have various extra properties that define them as special for display in Sentinel. Others could be stored as sub-objects attributes.
Basically there is no concept of pointers to a query like in Splunk. Its a copy by value type of thing. Queries can be copied/used across Analytic rules and Hunting queries. They can also be saved in Log Analytics for re-use but only at the Log Analytics level. Queries saved as functions can be called at higher levels such as Sentinel.
Hunting queries and Analytics Rules can’t be targeted at a user or group level. If you have access to Sentinel, you have access to all the hunting queries. If you have queries that are targeted at a user / namespace in Splunk, they will become global in a single instance of Azure Sentinel. And since Azure Sentinel can’t be pointed at multiple log analytics workspaces, you can’t really define things at a Azure Sentinel level that will then span across all Log Analytics workspaces.
At a Log Analytics level, you can save queries to the workspace. Again, there is no user / group targeting here. If you have access to the Log Analytics workspace, you have access to all saved queries.
As you read about in a previous blog in this series, there are several ways to create lookups. Some of these can content sensitive data so having a way to lock them down is going to be important. Remember, the three types of lookups are:
- Log Analytics Table: As you will see later, log analytics tables can be targeted using custom roles.
- Watchlists: Global for the Sentinel instance, everyone can see them.
- Azure Storage: Using Azure Storage means you would have to have knowledge of the file location and consequently access to the file (via SAS). Problem is, it is easy to look across all queries and be able to find any references to these external files.
The only real option you have for lockdown for lookups is via custom Log Analytics Table imports.
Alerts / Incidents
If you have access to the Azure Sentinel instance, you will see all incidents. There is currently no way to filter or hide incidents in Sentinel based on tagging or any other means. A SOC analyst will be able to see all alerts and incidents.
Since Dashboards are an Azure Resource that show up in the Resource Group, you can set IAM on them such that individuals won’t even be able to see them when they navigate to the Azure Portal. This simply prevents them from seeing a pre-created dashboard. If they were to figure out what a query was that showed data they shouldn’t see and build their own dashboard (provided they have Contribute access to Azure resource group), they could gain access to data they should probably not be looking at.
Tables / Schemas
Tables and data are stored in Log Analytics. As such, if you want to hide tables, you will need to utilize Azure Custom Roles with predefined table sets. You can reference how to this in the article Manage access to log data and workspaces in Azure Monitor. Doing this manually could be a months long process just by itself.
The way to make this work, is to enumerate the namespace in Splunk and then create custom roles for each of the namespaces and the tables they have access too. This will only allow you to limit access to the underlying tables, not any other elements in Azure Sentinel. However, by the nature of its function, it would prevent a person from being able to execute Hunting queries or to view Dashboards that reference those tables since they don’t have access to them.
Users can be exported from the Splunk instance. If they have their email property setup and they exist in the target Azure AD (which could be automated to provision in the case they are not), then they can be added with the basic permissions of Owner, Contributor and Reader in Log Analytics or Sentinel. Anything customized will need to be via custom roles after the user has been created.
If you do go down the custom roles based on tables (which are likely based on namespaces), you will need a mapping file from the Splunk namespace to the role name in Sentinel.
Resolving the Permission problem.
As you can see, there really is no real high-level concept of permissions in Azure Sentinel and Log Analytics. The lowest level you can set permissions is in the Log Analytics workspace via IAM/Custom roles for tables and then hope everything works right in the higher layers.
If you choose to migrate without considering any permissions during the migration, it is probably going to be a good idea to log and monitor any queries that are being sent to the Log Analytics workspace (directly or via Sentinel). If there are very sensitive tables contained in the workspace and folks are running queries that should not be doing so, you should be alerted to that (from another workspace/Sentinel?)
So, using Sentinel to monitor Sentinel becomes a thing. Isn’t recursion great?
Net net…Azure Sentinel is missing some pretty substantial permission based features that you enjoy in other SIEMs. It is up to you to determine if the functionality you are gaining, out weighs the short term drawbacks of losing out on these important security features.
Splunk to Sentinel Blog Series
- Part I – SPL to KQL, Exporting Objects
- Part II – Alerts and Alert Actions
- Part III – Lookups, Source Types and Indexes
- Part IV – Searches
- Part V – Dashboards and Reports
- Part VI – Users and Permissions
- Part VII – Apps