Approved model routes
Constrain each workload to providers, regions, deployments, and model classes approved for its data sensitivity.
USE CASE / DATA PROTECTION
Stop sensitive data before it crosses an AI boundary.
Enforce identity-aware model and action policy before prompts, retrieved context, or agent payloads reach an unapproved provider or downstream system.
RISK SIGNAL / 01
Employees and agents can move regulated or proprietary data into models and tools that sit outside approved enterprise boundaries.
CONTROL GAP DETECTED
CONTROL OUTCOMES
Move from fragmented access to enforceable policy.
Identity-aware decisions
Evaluate the user, application, agent, team, environment, and requested resource before allowing execution.
Action-level policy
Block high-risk exports, writes, or tool operations while preserving permitted read and analysis workflows.
Audit-ready evidence
Record the identity, policy version, route, resource, decision, and outcome for security review.
REFERENCE ARCHITECTURE
Controls execute in the request path.
Classify the request
Resolve identity, data context, target model, tool, and requested operation.
Evaluate boundaries
Apply provider, region, model, resource, and action policy to the request.
Route or block
Send allowed traffic through approved credentials or stop execution with a policy reason.
Emit evidence
Stream control decisions and outcomes to enterprise audit and monitoring systems.
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.