Some things shouldn’t
be anyone else’s business.
A difficult personnel decision. An unreleased product. A customer’s conversation history. AI can help with all of them. Exposing your information should not be the hidden cost.
Private with Fine Print is Not Private
“No logs” and “no retention” promises can still come with exceptions in the provider’s terms for abuse monitoring and policy enforcement. For example, Anthropic’s commercial retention policy allows flagged inputs and outputs to be kept for up to two years, and safety classification scores for up to seven years.
Your business and customers need private, not almost private
Reduce what you have to trust.
Think of a sealed envelope that the delivery service cannot open. Krava’s role is to deliver your AI request to a verified, protected computing environment and return the answer. Its relay does not hold the key to your conversation.
Your client checks that environment before sending the request. The content is encrypted on the client and only opened inside the inference environment. If the required checks fail, the request is refused.
This is the practical value of a zero-knowledge approach at the relay: keeping conversation content outside the operator’s reach. It is a specific boundary, not a claim that every part of the system knows nothing about you.
Be clear about the limits.
Krava still needs account, usage, payment, and technical records to run the service. Some of that metadata can be linked to an account. Passkeys do not make payment activity anonymous.
The AI must process readable content inside its protected environment. You still rely on that environment’s hardware, verified software, and the client you use. Your own application can also expose data through its logs, storage, or connected tools.
Krava Core protects the inference path. It does not automatically secure every part of your product or make a business compliant. The right choice starts with understanding precisely what the service protects.
The less private information a service can access, the less you have to trust it to keep private.
Read past the headline.
Providers publish detailed policies, and those policies evolve. These examples illustrate why it is worth checking the exact service, features, and agreement you use.
- OpenAI: zero data retention for frontier models — eligibility, the retention promise, and safety processing.
- Anthropic: API and data retention — retention behavior across APIs and features.
Sources checked September 22, 2026. These policies are examples of different privacy scopes, not a claim that all providers retain all content.