Enterprise AI · Model access
UniSmart AI Gateway
An AI gateway can provide a controlled path between applications and model providers. The UniSmart product’s availability, supported providers, and implemented controls have not been confirmed on this website.
Status: Availability to confirm.
Implementation details to verify
The list below is a review framework from the website plan, not a description of current product behavior.
- API compatibility, authentication, authorization, and supported providers or models.
- Policy checks, routing, quotas, rate limits, retries, and fallback behavior.
- Request and response data flow, provider processing terms, regions, and subprocessors.
- Prompt and response logging, credentials, metrics, traces, error handling, and retention.
- Deployment options, audit records, data minimization, and sensitive-data handling.
Privacy design recommendations
These are recommendations to evaluate. They are not claims that the product implements them.
- Classify the request and intended destination.
- Minimize context and remove unnecessary fields.
- Detect and redact sensitive information where appropriate.
- Apply policy using tenant, data class, provider, region, and use case.
- Route only to an approved provider or a verified private/local model path.
- Avoid storing prompts, responses, and secrets by default unless there is a justified, documented need.
- Audit policy decisions without copying sensitive payloads unnecessarily.
Privacy-enhanced and private-processing modes require product, provider, and configuration evidence. Masking alone does not guarantee anonymity, and zero data retention must not be assumed.