Provider discovery
Synchronize administration records and compare provider reality with your approved credential registry.
USE CASE / SHADOW AI
Find unmanaged AI access before attackers do.
Build an accountable inventory of provider credentials, owners, teams, projects, environments, usage, and spend across the enterprise.
RISK SIGNAL / 01
Security teams cannot govern AI credentials they cannot see, especially keys created directly in provider consoles or shared outside approved workflows.
CONTROL GAP DETECTED
CONTROL OUTCOMES
Move from fragmented access to enforceable policy.
Ownership resolution
Surface ghost, orphaned, stale, and unassigned keys and route them to accountable business owners.
Risk prioritization
Focus remediation on active production access, broad entitlements, weak lifecycle posture, and anomalous spend.
Governed onboarding
Move teams from unmanaged creation into a request and approval workflow with defined business context.
REFERENCE ARCHITECTURE
Controls execute in the request path.
Synchronize
Collect credential metadata from provider administration APIs and manual sources.
Reconcile
Compare discovered identities against governed records, owners, environments, and approved projects.
Prioritize
Score policy gaps by activity, privilege, exposure, ownership, age, and cost.
Remediate
Assign, replace, revoke, or approve credentials with an attributable evidence trail.
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.