Use Cases / Secure Agent Access

Control how AI agents connect to enterprise systems.

Connect agents once, then enforce centralized authorization, credential management, and auditability at scale.

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Key Capabilities

Verified MCP server library
Custom MCP servers (cloud, desktop, on-prem)
Support for internal and third-party enterprise tools
Centralized configuration endpoint

Natoma standardizes and secures tool access for AI agents across cloud, desktop, and on-prem environments.

Provide agents with structured, approved tool access.

Natoma enables AI agents to connect through a verified MCP server library or custom MCP deployments.

Route all agent-based tool access through a centralized configuration layer to eliminate direct unmanaged integrations.

Key Capabilities

Verified MCP server library
Custom MCP servers (cloud, desktop, on-prem)
Support for internal and third-party enterprise tools
Centralized configuration endpoint

Enforce identity-aware, attribute-based authorization.

Define which agents can access which tools and under what conditions using Cedar-powered policies.

Ensure agents acting on behalf of employees have the same authorization users would have natively.

Key Capabilities

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

Distribute governed agent access through a single endpoint.

Agents connect via one managed Natoma URL and Profiles define toolkits for each workflow.

Prevent configuration drift while scaling from pilot agents to enterprise-wide orchestration.

Key Capabilities

Role-based Profiles (toolkits)
One managed endpoint for all enabled connections
Controlled pilot -> department -> enterprise expansion
Organization-wide rollout management

Maintain full visibility into agent activity.

Natoma provides a complete audit trail of agent tool usage and authorization outcomes.

Detect anomalous behavior, integrate logs into your security stack, and maintain operational oversight as agent workflows expand.

Key Capabilities

Centralized activity logs and audit trail
Shadow AI discovery and control
Endpoint visibility via desktop app
Integration with CrowdStrike, EDR, and MDM systems

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

Audit export

Explore related use cases

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Authorization

Apply centralized, attribute-based policy to every AI tool connection.

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Enterprise MCP

Standardize and scale MCP integrations across your organization.

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Role-Based Toolkits

Standardize AI tool access by role, department, or function.

Frequently-Asked Questions

How does Natoma prevent agent privilege escalation?

Natoma enforces identity-aware, context-aware authorization so agents can only execute tool calls permitted for the acting user or service identity.

Can agent access be rolled out gradually?

Yes. Teams can move from pilot to department to enterprise rollout using Profiles and a single managed endpoint.

Does Natoma support both cloud and on-prem agent tooling?

Yes. Natoma supports cloud, desktop, and on-prem MCP deployments with centralized configuration and governance.

What telemetry is available for agent operations?

Natoma provides complete audit trails for agent activity, including allowed and blocked actions, plus integrations with security and endpoint systems.

Deploy AI agents with confidence.

Agentic AI introduces new integration surfaces. Natoma keeps those surfaces centralized, governed, and auditable from first pilot to enterprise-wide deployment.

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