01Distinguish self-declared information from verifiable identity
When an application is onboarded, make clear where callers come from and how employees, departments, and applications map to one another. A username submitted on its own, or an unsigned request header, is self-declared information and can be used for statistical attribution; when trustworthy accounting is required, a trusted server signs according to the identity contract and the gateway verifies it. A name passed from the front end cannot be treated as a verified personal identity.
02Put subscriptions, access, and content policies into the call path
Platform staff configure access permissions, subscriptions, and the corresponding policies per tenant and application, and choose whether content moderation observes or blocks. Before going live, confirm the moderation service, word lists, and policy scope; hit records are reviewed alongside call attribution. A request being allowed through only means it met the rules configured at that moment; judging content risk still depends on the moderation policy and service capability in use.
03Forward through the matching data plane and keep each governance boundary
AI requests are routed using the model alias, upstream pool, health, and capacity information. Ordinary HTTP APIs are handled according to the published catalog, backends, and subscription policies; their data plane is disabled by default and enabled as needed. During onboarding, confirm the paths and permissions for each of the two traffic types separately, and don't read enabling API governance as replacing every onboarding responsibility of the existing gateway.
04Review and allocate usage with the right metering basis
AI calls record usage such as Tokens, while general APIs record bytes, latency, and access activity; the two ledgers are reviewed separately. Organization snapshots preserve the organizational relationships as they were when the request occurred, and ledger locking seals a confirmed settlement period; use these records to check usage by user, department, or application. How resource usage is shared and priced among partners sharing infrastructure is set by tenant configuration. Records without a trusted identity or metering basis need to be checked separately.
Who it is for
Enterprise and public-sector AI teams, platform operators, shared-compute partners and organizations opening APIs to internal or external consumers.
Deployment & scope
Private delivery is supported. AI and general API data planes share a control plane; general API features are off by default and enabled when needed. Agree on identity sources, upstreams, policies, metering and cluster needs.
Moderation depends on configured policies and services and cannot guarantee detection of every risk. General API governance does not replace every role of an existing gateway. Laboratory benchmarks do not establish customer production performance.
