Evaluation & Operations
Data Privacy for Agentic AI Systems
Minimize sensitive context, control retention, isolate tenants, and make agent data flows understandable.
Map the data journey
Document what enters prompts, which tools receive it, what traces store, and which providers process it. Agent loops can copy data across more surfaces than a conventional request.
Minimize by default
Retrieve only the fields required for the current decision, redact secrets before model calls, and avoid placing durable identifiers in free-form context when scoped references will work.
Give memory a lifecycle
Define why information is saved, who may retrieve it, how users correct it, and when it is deleted. Personalization should not become indefinite invisible retention.