API Gateway

Mediates between the data formats expected by AI models and the actual schemas of internal enterprise systems. The gateway can convert REST to GraphQL, transform XML to JSON, or strip sensitive fields from responses.

• Redacts Personally Identifiable Information (PII) from payloads before they reach external LLMs
• Injects canonical source URLs into responses for generative citation
• Translates legacy SOAP services into modern RESTful interfaces for AI agents
• Example: An HR system's full employee record is filtered to only return anonymized department and role data to a workforce planning agent

Directs AI agent requests to specific backend versions based on headers, enabling controlled rollouts of new data schemas or RAG pipelines. Supports blue-green deployments and A/B testing of retrieval strategies.

• Routes X-AI-Agent-Version: v2 headers to new retrieval endpoints
• Gradually shifts traffic to updated embedding models to compare result quality
• Provides instant rollback if a new data format causes hallucination spikes
• Example: 10% of retrieval requests are routed to a new chunking strategy to evaluate its impact on answer accuracy before full rollout

Reduces the number of round-trips an AI agent must make by fanning out a single request to multiple backend services and assembling the unified response. This is critical for Retrieval-Augmented Generation (RAG) where context must be gathered from disparate sources.

• Merges results from vector databases, knowledge graphs, and relational databases
• Constructs a single, enriched context payload for the LLM prompt
• Handles partial failures gracefully with circuit breakers
• Example: An agent asking 'What is the status of order 12345?' triggers the gateway to fetch order details from an ERP, shipping status from a logistics API, and customer tier from a CRM, returning one cohesive JSON object

The architectural component that intercepts every API call before it reaches the backend. The API Gateway functions as the primary PEP, acting as a gatekeeper that forwards requests to the Policy Decision Point (PDP) for authorization. It physically blocks unauthenticated AI crawlers from ever touching the data layer.

• Enforces decisions via mTLS termination
• Blocks requests lacking valid session-bound tokens
• Applies rate limiting to prevent scraping

A standard enabling real-time session revocation based on critical state changes. Unlike static token expiry, CAEP allows the gateway to instantly terminate an AI agent's connection if a user's role changes or a device becomes non-compliant. This is critical for preventing data leakage during long-running retrieval-augmented generation (RAG) sessions.

• Shared signals between identity provider and gateway
• Eliminates reliance on token lifetime alone
• Enforces zero-trust principles dynamically

A protocol where both the client (AI agent) and server (gateway) authenticate using X.509 certificates. This ensures the gateway only accepts connections from verified, enterprise-issued AI services, not rogue scripts. It cryptographically binds the session to a specific identity, preventing credential theft and replay attacks against proprietary data APIs.

• Validates client certificate against a trusted CA
• Establishes an encrypted TLS 1.3 tunnel
• Foundational for service mesh architectures

The industry-standard authorization framework governing delegated access. The gateway validates JSON Web Tokens (JWT) or opaque tokens issued by an identity provider. OIDC adds an identity layer, allowing the gateway to verify the specific AI service account requesting data, enabling fine-grained scoping of access to enterprise knowledge bases.

• Validates iss and aud claims
• Scopes limit AI access to specific API endpoints
• Supports token introspection for active state checks

An access control paradigm evaluating user, resource, and environmental attributes against granular policies. The gateway acts on ABAC decisions by inspecting the context of the AI request—such as the sensitivity of the requested data, the agent's clearance level, and the time of day—to grant or deny retrieval dynamically.

• Combines user role with data classification tags
• Evaluates environmental context like network location
• Prevents over-privileged AI service accounts

A strategy integrated with the gateway to detect and block unauthorized exfiltration of sensitive data. As outbound responses pass through the gateway to the AI agent, DLP engines inspect payloads for patterns like PII or intellectual property. If a match is found, the gateway redacts or blocks the response to prevent proprietary content from leaking to external models.

• Scans structured JSON and unstructured text
• Uses regex and fingerprinting to identify secrets
• Logs incidents to an immutable log for audit