Managing Internal Access to Your Tenant
Sharing Access to Audit Trails within your Tenant
Caution: You will only have access to theAccess Policies
screen if you are an Administrator in your organization.
Attribute-Based Access Control (ABAC) policies can be used to control access Audit Trails and Events within a single organization.
Specifically, ABAC policies are created by Administrators to share information with Non-Administrators in the same Tenancy.
ABAC policies can be granular, with users only allowed to see single attributes at a time.
It is possible to control read and write access to Trails based on a combination of properties of the Trail as specified in the Asset attributes, such as type and location (eg: “all models trained in Gondwalaland”)
By default, new users will not see any existing Trails or Events until an Administrator explicitly creates an ABAC policy to allow them.
Note: To create an ABAC policy, first add users to your tenancy.
Creating an ABAC Policy
Consider the Shipping Container Asset we created. There may be many people within an organization who need access to specific attributes of the container.Note: Access policies are applied to the Trail and are themselves transparent. When a policy is created or updated, an Event will be recorded in the audit trail of matching Assets from the ActorArchivist Internal
to let people know if their access has changed. This prevents ’log black-out’ attacks.
We shall create a policy for someone who needs to share some standard dimensions of the Shipping Container, inspect the cargo, and create Inspect
Events.
You may wish to view your existing policies before creating a new one.
Navigate to the
Access Policies
section on the sidebar of the DataTrails dashboard. Here you will see any existing policies and can selectCreate Policy
.You may view your existing policies before creating your new policy by executing the following curl command. See instructions for creating your
BEARER_TOKEN_FILE
here.curl -v -X GET \ -H "@$HOME/.datatrails/bearer-token.txt" \ https://app.datatrails.ai/archivist/iam/v1/access_policies
Create your Access Policy.
Select
Create Policy
.Create an empty file, in later steps we will add the correct JSON.
{ }
Set the asset filters for your policy
When adding a policy, you will see this form:
Here you can apply policy filters to apply to specific Trails or groups of Trails. In this case, we shall apply the policy to any Asset with the type
Shipping Container
.Filters can use
and
oror
to define scope. You may also use filters on attribute values, such as=
and!=
for equal and not equal, respectively. These can be used for specific attribute values, or to check if the value exists at all. For example, to filter for Assets not associated with a location, you could use:"attributes.arc_home_location_identity!=*"
The
*
is a wildcard that could represent any value. This will match not only on string values, but list and map values as well.Following our Shipping Container example, this is how we would set our Asset filters:
{ "display_name": "Mandy Inspect Policy", "filters": [ { "or": [ "attributes.your_custom_attribute=Your Value>" ]}, { "or": [ "attributes.arc_home_location_identity=locations/<location-id>" ]}, { "or": [ "attributes.arc_display_type=Shipping Container" ]} ] }
See here for instructions on finding your location ID.
Note We will not use the custom attribute any further as we build the example.Enter the desired
Permissions
to set user’s accessWe select the
Permissions
Tab to set Users’ access policy.In this example, the
User
actor is identified by email. Type the relevant email address and hit enter; you may also see a dropdown list of users within your tenancy.There are a few ways you may add a
User
to your Access Policy using JSON. One way is to use the email address associated with their DataTrails account. To do so, add the desireduser_attributes
to theaccess_permissions
section.Note You may grant access to specific attachments by specifying the corresponding key in theaccess_permissions
."access_permissions": [ { "asset_attributes_read": ["arc_display_name", "arc_display_type", "arc_primary_image", "length", "weight"], "user_attributes": [ {"or": ["email=user@email.com"]} ] } ]
You may also grant permissions to an App Registration within your tenancy. App Registrations are non-root by default; best practice is to use ABAC policies to preserve Principle of Least Privilege.
"access_permissions": [ { "asset_attributes_read": ["arc_display_name", "arc_display_type", "arc_primary_image", "length", "weight"], "user_attributes": [ {"or": ["subject=<client-id>"]} ] } ]
Note: This is different from addingsubjects
as a key in youraccess_permissions
, for example, when adding an external Subject ID to an OBAC policy. The user attributesubject
refers to the Client ID associated with an App Registration.Additionally, you may set permissions based on the Custom Claims of an App Registration using JSON Web Tokens (JWTs). To do so, you must include the prefix
jwt_
followed by the desired claim as one of theuser_attributes
in the policy. For example, the keyjwt_app_reg_role
to match on claimapp_reg_role
."access_permissions": [ { "asset_attributes_read": ["arc_display_name", "arc_display_type", "arc_primary_image",, "length", "weight"], "user_attributes": [ {"or": ["jwt_app_reg_role=tracker"]} ] } ]
Once all relevant details are complete, add the permission group to the policy. You may add multiple permission groups per policy if you wish.
Here we are restricting Mandy to viewing theName
,Type
,Image
,length
andweight
of Shipping Containers currently located at the UK Factory. She cannot modify the container record and she cannot see the full Audit Trail of Events because she only needs to know that the container does not exceed the maximum length and weight.Enter desired permissions and select
Add Permission Group
Add the desired permissions and the desired
user_attributes
{ "display_name": "Mandy Inspect Policy", "filters": [ { "or": [ "attributes.arc_display_type=Shipping Container" ]} ], "access_permissions": [ { "asset_attributes_read": ["arc_display_name", "arc_display_type", "arc_primary_image", "length", "weight"], "user_attributes": [ {"or": ["email=mandy@datatrails.ai"]} ] } ] }
Note: We have included DataTrails-significant attributes:arc_display_name
,arc_display_type
andarc_primary_image
arc_*
attributes have special significance in DataTrails.
In this case, respectively, allowing visibility to theName
,Type
, andImage
of the Asset. Otherarc_*
attributes are also available.Once complete, finish creating the Access Policy.
Select
Create Policy
.fo Use the curl command to run your JSON file! See instructions for creating your
BEARER_TOKEN_FILE
here.curl -v -X POST \ -H "@$HOME/.datatrails/bearer-token.txt" \ -H "Content-type: application/json" \ -d "@/path/to/jsonfile" \ https://app.datatrails.ai/archivist/iam/v1/access_policies
Check the Asset is appropriately shared
Mandy should only be allowed to see the Asset’s name, type, image, length, and weight attributes.
For comparison with our Administrator, Jill who can see everything:
We can see that Mandy can only view the Attributes specified in the policy.
Our Administrator, Jill, can see every detail associated with the Asset.