Create a Policy
In order to create a Data Masking policy and protect your data, you should navigate to the Data Policies section of the Settings. If you don't see this tab, you may not have the appropriate permissions to create policies.
Here, you can click on Add Policy and fill out the form with the policy details.
The minimum set of properties you'll have to set is the following:
| Policy Detail | Description |
|---|---|
| Policy Name | Unique name for identifying your policy |
| Compliance | The compliance regulation the policy adheres to (e.g. GDPR, PCI-DSS) |
| Information Kind | The kind of information for obfuscation (e.g. PII, Financial) |
| Masking Rule | How the obfuscation should be implemented (e.g. hide-all, hide-last-3) |
| Risk Level | Categorization for the risk level associated with the policy |
| Fields | List of fields that should be obfuscated. It's based on JSON, and can be a path. If you want to hide multiple fields, you can click on Add field. |
Restrict to Resources, Users and Groups
Then, you can define how you want this policy to be applied, by defining the properties below:
| Policy Detail | Description |
|---|---|
| Resources | List of resources where the policy must be applied, like clusters or topics. To add new resources, you can click on Add resource. |
| Exclude Users or Groups from policy | In case you want some users or groups to see the data, you can exclude them from the policy. |
In the case above, the policy will mask the field name, for all the users except people from the group "Project A", on the topic accounts of the Local Kafka cluster.
After having created the policy, you can see it in the list of policies:
Validate a Policy
Once you have created a policy, you should validate it through the Conduktor Console.
- Navigate to a topic that contains data where your policy should be applied
- Check that the expected fields are obfuscated using the appropriate masking rule
We can see that the name is completely hidden, as we defined in the masking rule.