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.

CONTROL OUTCOMES

Move from fragmented access to enforceable policy.

01

Provider discovery

Synchronize administration records and compare provider reality with your approved credential registry.

02

Ownership resolution

Surface ghost, orphaned, stale, and unassigned keys and route them to accountable business owners.

03

Risk prioritization

Focus remediation on active production access, broad entitlements, weak lifecycle posture, and anomalous spend.

04

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.

01

Synchronize

Collect credential metadata from provider administration APIs and manual sources.

02

Reconcile

Compare discovered identities against governed records, owners, environments, and approved projects.

03

Prioritize

Score policy gaps by activity, privilege, exposure, ownership, age, and cost.

04

Remediate

Assign, replace, revoke, or approve credentials with an attributable evidence trail.

CREDENTIAL TELEMETRY
ILLUSTRATIVE REFERENCE VIEW
KEYS GOVERNED284+18 / 30D
OWNERSHIP COVERAGE96.4%ORG / TEAM / PROJECT
STALE FINDINGS13REVIEW REQUIRED
PROVIDERS SYNCED6HEALTHY
TIMEKEYCONTROLSCOPEOUTCOME
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
SOC 2 control alignment

Architecture supports evidence collection for access, change, and monitoring controls.

ISO
ISO 27001 readiness

Map credential, access, policy, and audit practices to ISMS control objectives.

AI
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.

ENTERPRISE INQUIRY / SECURE FORM

Request an enterprise demo

Tell us about your environment. We will route your request to a technical specialist.

Business inquiries only. No free-tier or consumer accounts.