One stable endpoint
Expose an OpenAI-compatible interface while platform teams control providers, deployments, credentials, and economics behind it.
PLATFORM / ENTERPRISE LLM GATEWAY
Route every model request. Authorize every agent action.
Agent Access Manager is designed to put identity, policy, budget, routing, and credential mediation in one enterprise AI request path.
RISK SIGNAL / 01
Direct provider integrations fragment authentication, spend controls, failure handling, and audit context across every application team.
CONTROL GAP DETECTED
CONTROL OUTCOMES
Move from fragmented access to enforceable policy.
Policy before execution
Evaluate workload identity, model entitlement, budget, rate, data boundary, and requested action before a request proceeds.
Resilient routing
Select providers by policy and maintain fallback routes based on availability, latency, capacity, or cost.
End-to-end evidence
Connect virtual key, workload, model, provider, token cost, policy decision, and outcome in one audit event.
REFERENCE ARCHITECTURE
Controls execute in the request path.
Authenticate workload
Validate the application or agent identity and resolve its enterprise owner, environment, and grants.
Evaluate control policy
Check model access, rate, budget, data constraints, and action-level authorization.
Select secure route
Inject the protected provider credential and route to the permitted primary or fallback deployment.
Record the outcome
Normalize the response and emit cost, latency, identity, decision, and execution evidence.
CONTROL TELEMETRY
ILLUSTRATIVE REFERENCE VIEWTIMEIDENTITYCONTROLRESOURCEDECISION
14:32:08agent.finance-07action_policycrm.accounts.readALLOW
14:31:55app.customer-aimodel_budgetgpt-reasoningROUTE
14:31:41agent.research-12data_boundarydrive.exportBLOCK
TRUST ARCHITECTURE
Built for security review, not security theater.
Map identity, policy, credential use, and audit evidence to the controls your enterprise already operates.
SOC 2 control alignment
Architecture supports evidence collection for access, change, and monitoring controls.
ISO 27001 readiness
Map credential, identity, policy, and audit practices to ISMS control objectives.
NIST AI RMF mapping
Operational visibility across governed model access and autonomous action paths.
Control-alignment statements describe product architecture and are not claims of EnvisionAI certification.
WORKS WITHAWSMicrosoft AzureOpenAIAnthropicGoogle CloudOllama
TECHNICAL EVALUATION
Review the control path with your security and platform teams.
Map the architecture to your providers, identity stack, cloud boundaries, and operating requirements.