Use Cases / Shadow AI

Identify, control, and govern AI tool usage across your enterprise.

Detect unmanaged integrations, bring Shadow AI under policy, and standardize access before risk compounds.

Key Capabilities
  • Shadow AI detection across AI clients and agents
  • Discovery of unmanaged MCP servers
  • Endpoint visibility via desktop app
  • Centralized inventory of AI tool connections

Uncover unmanaged AI tool access.

Natoma reveals unsanctioned MCP servers, unmanaged credentials, and unauthorized AI integrations across desktop and enterprise environments.

Bring hidden AI usage into a governed framework before it becomes systemic.

Key Capabilities
  • Shadow AI detection across AI clients and agents
  • Discovery of unmanaged MCP servers
  • Endpoint visibility via desktop app
  • Centralized inventory of AI tool connections

Replace ad hoc integrations with governed access.

Once discovered, consolidate Shadow AI usage into managed Profiles and route access through one Natoma endpoint.

Eliminate configuration drift and inconsistent controls while establishing a standardized, auditable access layer.

Key Capabilities
  • Role-based Profiles (toolkits)
  • Centralized configuration endpoint
  • Controlled migration from unmanaged to managed access
  • Organization-wide rollout controls

Enforce policy across AI clients, tools, and connections.

Natoma centralizes authorization so users, agents, and devices only access approved tools under approved conditions.

Apply consistent governance across all AI activity with Cedar-powered policies.

Key Capabilities
  • Identity-aware access controls
  • Attribute-based authorization (Cedar)
  • Context-aware enforcement (user, group, device, app)
  • Managed credentials or BYO credentials

Operate with full visibility and auditability.

Maintain a complete audit trail of AI tool activity and usage patterns as adoption scales.

Export logs for compliance and integrate telemetry into existing security systems.

Key Capabilities
  • Centralized activity logs and audit trail
  • Audit export
  • Integration with CrowdStrike, EDR, and MDM systems
  • Continuous monitoring of AI tool usage

Enterprise-ready by design

Built for enterprise production.

Activity logs
Works with existing enterprise ecosystem (SIEM, IAM, EDR, MDM)
Run in VPCs and leverage your MCP artifactory
Supports desktop MCP servers
Support for on-prem environments
Granular authorization via Cedar
Built for large-scale deployments
Explore related use cases

Frequently-Asked Questions

What does Natoma classify as Shadow AI?
Shadow AI includes unmanaged AI clients, MCP servers, credentials, and tool integrations operating outside approved governance controls.
How quickly can teams identify unmanaged usage?
Natoma provides centralized discovery across endpoints and enterprise systems so teams can rapidly inventory and triage unmanaged AI connections.
Can discovered Shadow AI be migrated instead of blocked?
Yes. Natoma supports controlled migration from unmanaged access into governed Profiles and centralized endpoints.
How do we maintain ongoing oversight after cleanup?
Continuous logging, audit export, and security-stack integrations keep visibility and policy enforcement active as usage grows.

Bring Shadow AI under control.

AI adoption does not stop at policy documents. Natoma enables enterprises to discover, standardize, and govern AI tool access in real time, turning unmanaged experimentation into secure deployment.

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