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How Wix scaled Al-native work to 5,000 employees with Willow
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Willow vs Natoma

Compare Willow and Natoma for local AI discovery, MCP access, tool rules, browser and device controls, deployment, pricing, and compliance.

TL;DR
  • Choose Willow when you need to adapt AI safely, connect any AI agent and tool and to find unapproved AI on employee devices and govern it across browsers, AI clients, tools, skills, bots, and agents.
  • Why Willow fits: Willow finds named local AI settings, clients, skill files, and agent instructions on managed macOS and Windows devices, governs more than MCP connections, and deploys across the environments you run.
  • Choose Natoma only when centralized MCP access, detailed tool rules, rate limits, and deployment in your own environment define the project.

Willow vs Natoma: Govern Employee AI Across Devices, Browsers, Clients, and MCP Connections

Willow is the stronger choice for employee AI across devices, browsers, clients, tools, and agents. Willow finds local MCP settings, AI clients, skills, and instruction files across managed devices, including setups IT never registered. Choose Natoma only when centralized MCP access, per-tool rules, rate limits, and deployment in your own environment define the project.

Both products govern AI, but they start in different places. Willow starts with the unapproved AI already on employee machines and extends across browsers, clients, tools, and agents. Natoma centralizes AI connections to business tools through an MCP platform. The right choice depends on which problem leads your program.

At a glance

Willow lets IT, security, and AI enablement teams find employee AI and distribute approved tools, skills, policies, and agent access.

Natoma centralizes AI connections to business tools through an MCP platform with profiles, policies, discovery, and deployment options.

The core difference

Willow governs employee AI across devices, browsers, clients, and agents. Natoma centers on a centralized MCP platform with detailed per-tool rules. Willow gives IT direct coverage beyond gateway and MCP traffic. Natoma leads with MCP connections brought under one platform.
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Willow vs Natoma

Criteria Willow Natoma
Main job Find and govern employee AI across devices, browsers, identities, MCP access, skills, plugins, and agents Centralize AI connections to business tools through an MCP platform with profiles, policies, discovery, and deployment options
Local AI discovery Finds supported MCP settings, installed AI clients, skills, Cursor rules, CLAUDE.md, and AGENTS.md on managed macOS and Windows devices Finds unmanaged AI connections through endpoint security and device-management integrations, plus its desktop app
MCP catalog and setup Marketplace offers 1,000+ connectors, 50+ skills, and 10+ plugins; users access governed tools through supported clients Provides a verified MCP server library, custom MCP deployments, and generated client configuration
Per-tool policy Can disable individual tools, require approval, apply guards, block matching calls, and govern discovered MCP servers and skills Policies can allow or block specific tools for users, connections, applications, and clients; content validation can inspect requests and responses
Rate limits Gateway rate limits cap calls per user, with optional group and MCP-server filters Rate limits apply per user per application over one-hour or 24-hour windows
Browser AI Prompt Guard can block or redact prompts and attachments on supported sites; Claude Guard controls Claude-in-Chrome actions Controls AI client connections, desktop MCPs, and endpoint discovery
Credentials for bots and agents Machine users have named credentials, group-scoped access, and secret rotation; background agents have identity, owners, tools, and triggers Manages users and agents through MCP connections
Deployment SaaS, hybrid, and on-premises, including air-gapped on-premises; EU hosting is available Cloud, private cloud, self-hosted, and on-premises options; bring your own MCP servers and secrets vault on higher plans
Pricing Free at $0/month, Startup at $15/seat, Enterprise by inquiry Free at $0 with 5 MCP servers, 5 users, and 5,000 tool calls/month; Pro and Enterprise are contact sales


Where Willow leads: find the AI that was never registered

Willow lets IT and security govern employee AI beyond a centralized MCP platform.

  • Find AI that was never registered. Discover supported local MCP settings, AI clients, skills, Cursor rules, CLAUDE.md, and AGENTS.md on managed devices.
  • Govern more than MCP connections. The same program covers browsers, supported AI clients, skills, bots, and agents, not only MCP traffic.
  • Use per-user gateway limits and model budgets. Rate limits cap calls per user, and model budgets work in supported clients.
  • Deploy across the environments you run. SaaS, hybrid, and on-premises, including air-gapped, with EU hosting available.

When to choose Natoma

Choose Natoma only when a centralized MCP platform and detailed tool rules lead the program.

  • Apply detailed rules to connected MCP tools. Natoma policies can allow or block specific tools for users, connections, applications, and clients, with content validation on requests and responses.
  • Run the MCP platform in your environment. Natoma offers cloud, private cloud, self-hosted, and on-premises options, with bring-your-own MCP servers and a secrets vault on higher plans.

If centralized MCP access and per-tool rules are the project, Natoma fits. If the priority is finding and governing the AI employees already run across devices, browsers, and clients, that is where Willow starts.

Proven at enterprise scale

"We are six to ten months ahead of most companies in AI adoption. More code to production, fewer incidents, real outcomes. Willow is what made it possible to move that fast without slowing down our security posture."Asaf Yonay, Head of AI Core, Wix

  • ~5,000 weekly active users at Wix
  • ~600 governed tools and MCPs
  • 2M+ governed tool calls each week

Bottom line

Willow finds and governs employee AI across devices, browsers, clients, identities, tools, skills, and agents. Natoma centralizes AI connections to business tools through an MCP platform with detailed per-tool rules.

Use Willow when IT must first find and govern the AI employees already use. Choose Natoma only when centralized MCP access, detailed tool rules, rate limits, and deployment in your own environment define the project.

FAQs

Which product finds local AI settings before IT registers them?

Willow identifies supported MCP settings, installed AI clients, skills, Cursor rules, CLAUDE.md, and AGENTS.md on managed macOS and Windows devices. Natoma finds unmanaged AI connections through endpoint security and device-management integrations and its desktop app.

Can Willow deny an individual tool?

Yes. Willow can disable a tool, require approval, block matching calls, and apply guards. Natoma also allows or blocks specific tools for selected users, connections, applications, and clients.

Which product controls browser AI?

Willow can block or redact prompts and attachments on supported AI websites and control Claude-in-Chrome actions. Natoma centers its controls on AI client connections, desktop MCPs, and endpoint discovery.

When should a company choose Natoma?

Choose Natoma only when centralized MCP access, detailed tool rules, rate limits, and deployment in your own environment define the project. Choose Willow when IT must find and govern employee AI across devices, browsers, and clients.

Which product has a published starting price?

Both have a free entry point. Willow publishes Free at $0/month and Startup at $15/seat. Natoma provides 5 MCP servers, 5 users, and 5,000 monthly tool calls on its free plan; paid plans require a quote.

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