Natoma AI

Natoma AI is an enterprise-grade agent-enablement platform that securely connects any AI model to your internal apps and data through the open Model Context Protocol (MCP). Centralize AI access rights, enforce governance, and gain full observability—without changing your existing security stack.

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enterprise AI platformAI agent managementModel Context ProtocolAI governanceRAG retrieval augmented generationAI access controlAI observabilitysecure AI integration

Features of Natoma AI

Standard MCP connectors to plug AI agents into ERP, CRM, docs, and databases

Built-in RAG so models retrieve live, authoritative data for accurate answers

One dashboard to manage agents across cloud, desktop, and on-prem

Role-based toolkits—pre-build and assign AI app bundles by team or function

Cedar-powered, attribute-based policy engine for fine-grained, identity-aware access

Curated MCP server library plus custom-server support with RBAC out of the box

AI guardrails & LLM firewall to block prompt injection, PII leakage, and toxic output

Complete audit trail and real-time activity logs for SOC 2, ISO 27001, and GDPR

Plug-and-play integration with SSO, IDP, and existing security stacks

Interactive playground and searchable AI skills catalog for rapid prototyping

Use Cases of Natoma AI

Unify and secure ChatGPT, Claude, Gemini, and home-grown models inside one control plane

Give Finance, Engineering, Sales, etc. curated AI toolkits with zero extra logins

Feed internal knowledge bases into AI apps without building custom pipelines

Let Security & Compliance teams monitor every prompt, response, and data access in real time

Replace scattered “shadow AI” tools with a single, governed platform

Move from AI pilot to production scale in days, not months

Rapidly test and publish new MCP servers to accelerate agent development

FAQ about Natoma AI

QWhat is Natoma AI?

Natoma AI is an enterprise platform that uses the open Model Context Protocol (MCP) to connect AI agents to your internal systems securely, giving IT unified control, governance, and full observability over every AI interaction.

QWhat are the core features?

MCP-based connectors, role-based access control, RAG data retrieval, Cedar policy engine, AI guardrails & LLM firewall, real-time audit logs, and an interactive skills catalog.

QHow does Natoma AI secure enterprise AI?

It enforces identity-aware, attribute-based policies via Cedar, filters prompts and responses through guardrails/firewall, and provides immutable audit logs for compliance.

QWho should use Natoma AI?

Mid-market to large organizations that need to safely deploy multiple AI models, control access by role, and prove compliance.

QWhat technical prerequisites are required?

None beyond existing SSO/IDP. Most customers move from pilot to production within days; detailed docs are provided.

QIs there a free trial?

Yes—free trial and pay-as-you-grow pricing are available; the public skills catalog can be browsed without signup.

QWhich AI models or systems can it connect?

Any MCP-compatible model—Claude, ChatGPT, Gemini, or custom models—and it integrates with internal APIs, databases, and document stores.

QWhat are the responsibilities of different user roles?

Members connect business apps to AI; App Admins manage which apps members can use; System Admins set organization-wide AI access policies.

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