How can a team verify an AI retention policy?
Use controlled, non-sensitive test content to trace creation, processing, storage and deletion across the documented workflow. Check derived copies, queues and exports, and record any delayed lifecycle behavior. Combine that technical evidence with the deployment’s current contractual terms and the organization’s own approved retention requirements.
Answered in
Enterprise AI Privacy Is Becoming a Data-Custody Design ProblemAnthropic’s Frontier Safeguards proposal separates data custody from abuse detection. Here is how to evaluate the architecture behind the promise.
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