Continuous inventory
Synchronize provider administration data and identify manual, ghost, stale, orphaned, revoked, and unassigned credentials.
SOLUTION / AI CREDENTIAL GOVERNANCE
Know every AI API key. Control every access path.
APIKeyOps gives security, platform, and finance teams one operating system for AI provider credential inventory, ownership, lifecycle policy, audit evidence, and spend.
CONTROL OUTCOMES
Move from fragmented access to enforceable policy.
Governed access
Replace ticket-based secret sharing with requests, approvals, ownership, teams, projects, and delegated administration.
Protected credentials
Use controlled reveal operations, per-key encryption, replacement history, and event-level audit evidence.
Cost accountability
Attribute provider usage and spend to the keys, models, teams, projects, and cost centers responsible.
REFERENCE ARCHITECTURE
Controls execute in the request path.
Connect providers
Synchronize OpenAI, Anthropic, Google, and manually managed credential sources.
Resolve ownership
Map keys to stable identities, business owners, teams, projects, environments, and cost centers.
Apply policy
Evaluate expiry, provider, environment, replacement, and access controls across the inventory.
Prove governance
Report ownership, reveal, revoke, replacement, backup, usage, and spend evidence.
CREDENTIAL TELEMETRY
ILLUSTRATIVE REFERENCE VIEWTIMEKEYCONTROLSCOPEOUTCOME
14:32:08ako_01J9...Q2ownershipteam.financeASSIGNED
14:31:55ako_01J8...M7rotationproject.assistantRECORDED
14:31:41ako_01J7...K4stale_policyprovider.openaiFINDING
TRUST ARCHITECTURE
Built for security review, not security theater.
Map virtual-key access, encrypted provider credentials, guardrail decisions, 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, access, policy, and audit practices to ISMS control objectives.
NIST AI RMF mapping
Operational visibility across governed model access, guardrails, usage, and provider outcomes.
Control-alignment statements describe product architecture and are not claims of EnvisionAI certification.
WORKS WITHOpenAIAnthropicGeminiVertex AIGroqOllama
TECHNICAL EVALUATION
Review the control path with your security and platform teams.
Map the architecture to your providers, application clients, governance scopes, data boundaries, and operating requirements.