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Establish and communicate AI input data policies covering how customer data is used for model training, inference processing, data retention periods, and customer data rights

Control activities

Typical evidence

Should include?

Defining and communicating input data usage policies. Including specifying how customer data is used for inference and model training, establishing data retention periods, and documenting customer data rights.

A001.1 Documentation: Policy for input data ownership, usage and retention

Typically demonstrated by Terms of Service, Privacy Policy or Data Processing Agreement

Typical location
Terms of ServicePrivacy PolicyDPA
Capabilities
Universal

Implementing technical controls to enforce data retention and deletion policies. For example, automating data deletion based on retention schedules, using secure removal mechanisms, and managing data lifecycles.

A001.2 Config: Data retention implementation

Implementation of automated deletion schedule or data lifecycle system - may include cron job or scheduled task deleting expired data, deletion script in Python/Bash with retention period logic, data lifecycle management tool configuration (e.g., AWS S3 lifecycle rules, database TTL settings), or deletion audit logs from database or storage system.

Typical location
Engineering CodeEngineering Practice
Capabilities
Universal
May include?

Documenting processes for handling end-user data subject rights. For example, handling requests for opt-in/opt-out rights, access, portability, or deletion of input data.

A001.3 Documentation: Data subject right processes

May be included in DPA, GDPR appendix, External Privacy Policy or similar internal or external policies documenting processes for data handling

Typical location
Data Processing AgreementPrivacy Policy
Capabilities
Universal

Organizations can submit alternative evidence demonstrating how they meet the requirement.