Infrastructure for AI-Powered API Security & Management

Whether operational knowledge is systematically recorded

• Continuous, structured capture of API request and response payloads including caller identity, endpoint, HTTP method, status code, and latency metrics at the gateway layer with consistent schema
• Systematic logging of authentication events, rate-limit violations, schema validation failures, and anomalous parameter patterns into a queryable API security event register

How explicitly business rules and processes are documented

• Machine-readable API contract specifications (OpenAPI/AsyncAPI) versioned as governed artefacts with explicit schema definitions, authentication requirements, and rate-limit policies per endpoint

How data is organized into queryable, relational formats

• API catalogue taxonomy classifying endpoints by business domain, sensitivity tier, consumer type, and criticality enabling risk-stratified anomaly thresholds and policy enforcement

Whether systems expose data through programmatic interfaces

• Standardised query access to API gateway telemetry, identity provider token validation logs, and threat intelligence feeds enabling the detection engine to enrich traffic events with caller reputation signals

How frequently and reliably information is kept current

• Automated refresh of API contract specifications and baseline traffic profiles aligned with deployment events, with drift detection alerting when undocumented endpoints or parameter patterns emerge

Whether systems share data bidirectionally

• Event-driven integration between API anomaly detection output and WAF, rate-limiting, and developer portal tooling enabling automated policy enforcement and API consumer notification