Built-in Classification Frameworks
This feature is only available to select accounts.
Discover comes preconfigured with a bundle of classification frameworks for use out-of-the-box once endorsed by your organization's admins. These frameworks are designed by Immuta’s Legal Engineering and Research Engineering teams and informed by data privacy regulations and security standards: GDPR, CCPA, GLBA, HIPAA, PCI, and global best practices. They are a starting point for companies to customize to their own classification, security, and risk policies.
Data Security Framework
The Data Security Framework is the general classification framework. It provides the groundwork for categorizing data based on its context but is not specific to any regulatory framework and does not assign sensitivity or risk values to the data it tags. It provides a consistent taxonomy used throughout Immuta, from other built-in frameworks to customized frameworks that classify data valuable to your organization to Secure data and subscription policies.
The Data Security Framework is a supportive tool that accelerates data classification. Use the Data Security Framework in tandem with Discover identification frameworks out-of-the-box for the easy and quick onboarding of data sources and tags. Then, choose the compliance frameworks that matter to your industry or start building your own classification frameworks that assign sensitivity to the specific data of your organization. Your organization's compliance team should review the compliance frameworks as you would a template for a policy or contract and adapt them as needed to ensure a complete inventory and proper classification of your data.
You can view the Data Security Framework tags and their descriptions from the tags page in the UI or from the data dictionary when they are applied to a data source. Note the field and record tags. While they seem similar, the field and record tags are both necessary to convey the content of your data. Field tags describe the content of the columns, and record tags describe the content of the table.
Use the Data Security Framework with the Risk Assessment Framework
To classify your data use both the Data Security Framework to set the groundwork for classification and the Risk Assessment Framework to apply tags with sensitivity metadata based on the Data Security Framework tags. With Snowflake, these frameworks together will show sensitive queries in Detect dashboards. Do not use the Data Security Framework with the Immuta DSF.
Risk Assessment Framework
The Risk Assessment Framework provides the visible tags to your data's sensitivity based on the confidentiality risks it poses to your organization or the data subjects.
Use the Risk Assessment Framework out-of-the-box with the Data Security Framework and Discover identification frameworks to provide sensitivities to view in the Detect dashboards. Additionally, you can copy the framework using the API and create new rules to assign risk level and sensitivity to other data specific to your use case.
Risk assessment tags
The risk assessment tags have sensitivity level metadata assigned to them that will appear in the Detect dashboards as non-sensitive (when no risk assessment tag is applied), sensitive, and highly-sensitive. Additionally, use the risk assessment tags to build Secure policies to restrict access to highly-risky and confidential data.
|Indicates confidential data with medium privacy risk to the data subject.
|Indicates confidential data with high privacy risk to the data subject.
|Indicates confidential data with very high privacy risk to the data subject.
Use the Data Security Framework with regulatory frameworks
The Data Security Framework provides the necessary translation of Discovered entity tags to classification tags. Without the Data Security Framework on, the regulatory frameworks will not automatically work with your data and will require customization.
Immuta comes with four regulatory frameworks informed by the best practices of a specific regulation or standard. These are designed by Immuta’s Legal Engineering and Research Engineering teams as a general interpretation, but each organization should customize them based on their internal practices:
- CCPA Framework: Classifies personal sensitive information controlled under the California Consumer Privacy Act (CCPA), as amended by the Consumer Privacy Rights Act (CCPA). This framework tags personal information, including communication content (like the body of a text message) and details about an individual's sexual orientation, religion, race, or biometric data.
- GDPR Framework: Classifies personal data of specific categories protected under the EU General Data Protection Regulation (GDPR). This framework tags personal data, including details about an individual's health, sexual orientation, religion, race, or biometric data.
- HIPAA Framework: Classifies protected health data controlled under the US Health Insurance Portability and Accountability Act (HIPAA). This framework tags health data connected to a specific individual.
- PCI Framework: Classifies payment card information relevant to the Payment Card Industry (PCI) standard. This framework tags payment card information, including account, authentication, and cardholder data.
Some compliance frameworks are used to to add context and apply Data Security Framework tags. Use the data inventory dashboard to enable frameworks with information on the other frameworks they depend on.
About Immuta's frameworks
Organizations are responsible for making their own independent assessment of the framework rules. The framework rules are only templates and are not necessarily adapted to the specific context in which an organization operates. Framework rules do not constitute legal advice. They do not create any commitments or assurances from Immuta that users will necessarily comply with the statutes or standards that have informed these framework rules.