Case Study
How Wix scaled Al-native work to 5,000 employees with Willow
Read More
AI Agent Security

Willow vs Netskope for AI Agent Security

Netskope provides MCP data protection, traffic policies, and AI discovery. Willow governs employee AI tools with device policies, approved capabilities, and runtime approvals.

TL;DR
  • Start with Willow to govern employee AI capabilities through local discovery, published device rules, reviewed skills and plugins, and approval for selected MCP tools.
  • Willow combines publication checks with approval before selected tool calls, giving security a decision before distributing a capability and before a sensitive action executes.
  • Consider Netskope only if the project requires its MCP DLP, granular traffic policies and broader AI security products. Netskope also discovers endpoint agents, MCP configurations and local models through its client.

‍

An employee AI rollout needs a way to find the tools people are using, approve what belongs in the organization, and control access to business systems. Data security adds another requirement: inspect what crosses an AI or MCP connection and stop sensitive content from reaching the wrong destination. Willow connects the employee’s installed capability to a published policy, a reviewed replacement and selected tool approval.

Willow brings local capability discovery, device policies, organization skills and plugins, and gateway action controls into an employee workflow. An admin can act on a discovered skill, distribute a reviewed alternative and add human approval to a consequential tool. This is a practical scope for governing the AI tools employees use each day.

Netskope provides Agentic Broker, an AI Gateway with an MCP Gateway extension, and AI Command Center visibility across enabled products. The buying decision should identify whether employee capability administration or Netskope’s data-protection and traffic-policy mechanisms are the priority, then include the deployment dependencies for that scope.

How Willow and Netskope compare

Willow vs Netskope

willow
Requirement Willow Netskope
Find local AI capabilities MCP configurations, skills, instruction files and installed AI tools. Endpoint MCP servers, agents and local models through Netskope Client.
Govern approved employee capabilities Published device rules plus reviewed skills and plugins. Visibility and policies supplied by enabled AI security products.
Control MCP actions Tool enablement, selected human approval and runtime guards. Allow/block by server, tool, resource, prompt, activity or token group.
Inspect sensitive content Runtime MCP request/response guards; supported coding-agent hooks. MCP DLP on tool arguments, results and resource content; AI Guardrails.
Investigate activity Handled-call identity, tool and guard-outcome logs. MCP events, broker analytics and AI Command Center visibility.
Plan the rollout Deploy Scan Agent, gateway and chosen capability policies. Enable required Broker, gateway, endpoint and data-protection components.

Endpoint discovery and tool-level MCP policies exist on both sides of this comparison. With Willow, the administrator can change a local capability policy, review the material employees receive and approve selected actions. A Netskope deployment combines the source products required for its visibility and protection. The operator needs the enabled discovery source, the traffic route and the enforcing product identified for each policy in the rollout.

Use discovery to decide what employees should run

Willow’s AI Discovery inventories local MCP configurations, installed AI tools, skills and standing instructions such as CLAUDE.md and AGENTS.md. That gives the security team visibility into capabilities an employee assistant can load before those capabilities have been registered with a gateway. It also creates a concrete object for review: a configuration, a skill or an installed tool.

Device Policy Rules can allow, warn on or block discovered MCP servers, skills and plugins. Rules can be scoped to users, groups or devices, and take effect after publication. This lets the team apply a capability decision to the relevant fleet segment, while retaining a separate draft phase for preparing and reviewing the rule.

The Scan Agent applies the local change. A blocked skill can retain its original file with a notice in the active location; a plugin can be disabled through its configuration. Standard blocking is reversible, while the delete-from-device skill option requires reinstallation to restore the material. Those mechanics make the employee impact of a policy explicit.

Netskope’s Endpoint AI Discovery also contributes MCP servers, agents and local models to AI Command Center. Endpoint discovery requires Netskope Client version 138 or later and discovery enabled in the tenant. A team already deploying that client has a meaningful discovery option. Compare the discovered objects and the action taken on each finding, rather than assuming endpoint visibility belongs to only one product.

Distribute approved skills and plugins through a review process

Willow provides an organization skills inventory with group assignments, GitHub imports and review states. Skills can be bundled into plugins. A team can maintain a reviewed capability for a department and distribute it through supported clients, reducing the need for each employee to choose and maintain their own independent copy of an instruction package.

Build-time guards inspect toolkit and plugin content when an admin publishes it. A policy violation can stop distribution before the package reaches employees. This adds a supply-side decision to the employee rollout: content can be acceptable to distribute, held for review or blocked, with runtime checks still governing how an approved package is later used.

For an evaluation, use the same employee capability in both demonstrations. Include its local file or plugin package, the intended audience, and the update that needs review. That keeps a reviewed distribution workflow distinct from an inventory record or a policy on traffic to a remote MCP server. Each is useful, and each answers a different administration question.

Set the control for the individual MCP action

Willow admins can disable individual tools or require human confirmation for every invocation of a selected tool. Disabled tools are hidden from clients using the gateway. For a department adopting an assistant, this provides a way to expose routine read operations while retaining a human decision for consequential writes or deletes. The policy is attached to the tool.

Willow’s runtime guards inspect routed arguments and responses, with options to block or mask content. Guard Hooks add configured checks for supported prompts and file-tool events in Claude Code, Cursor and Codex. Gateway and hook coverage have separate boundaries, so the rollout should name which one is responsible for the action being governed.

Netskope’s MCP Gateway policies are also granular. They can allow or block by server, tool, resource, prompt, activity type or token group. Its DLP can inspect tool arguments, results and resource content. A data-security team can apply these policies to the MCP content and activity it needs to protect. Willow connects its selected human approval with the reviewed employee capability, giving the governance owner an administration path from the package employees receive to the action they invoke.

The Netskope MCP Gateway extension runs inline through the AI Gateway appliance. Agentic Broker provides another route for remote MCP visibility and real-time protection policies. Specify which path carries the pilot traffic and which policy applies there. A product name in the commercial proposal should correspond to the route that actually enforces the required decision.

Match the visibility dashboard to its source products

Netskope’s AI Command Center combines signals from several products. AI application visibility depends on the operational Next-Gen Secure Web Gateway path; MCP traffic visibility uses Agentic Broker; endpoint assets use enabled Endpoint AI Discovery. Alerts and guardrail visibility have their own protection dependencies. This makes the enabled product set part of the discovery and investigation architecture.

A team choosing Willow can begin its capability review with the Scan Agent and published device policies, then configure the managed gateway for approved MCP use. Device policies reach only machines with the agent. An unmanaged direct connection on a device without it remains outside that local enforcement path. The deployment needs a fleet coverage plan as well as a gateway configuration.

For runtime investigation, Willow logs identify handled tool calls, clients, users, servers and guard decisions, with CSV export and external log-delivery workflows. Netskope provides MCP events and broker analytics within its product set. In either proposal, require a demonstration that connects a discovered asset to the policy outcome and the event an investigator will actually review.

Keep identity and failure behavior in the deployment scope

Willow supports human authentication paths and SCIM lifecycle from an identity provider. Separately owned machine users have group-scoped MCP access and rotatable secrets. Review the upstream credential mode for each server so the external service receives the intended person or service authority. The gateway identity and upstream authorization are related parts of the configuration, rather than interchangeable evidence.

Machine users and background agents use static secrets with lifecycle managed in Willow. Human SCIM offboarding does not retire every independently created agent identity. Put an owner, rotation process and deactivation step around unattended automations. Keep that retirement step with the team responsible for the automation and its credentials.

Willow Guard Hooks fail open if a check times out or Willow is unreachable. Its gateway guards evaluate individual calls without previous-call memory. These details should influence which operations receive a hook check, a gateway guard or explicit human approval. Ask for the corresponding traffic and failure behavior in a Netskope demonstration so the control paths are comparable.

When Netskope is the right choice

Choose Netskope only if its specific data-protection and AI traffic controls are required: MCP DLP across arguments, results and resources; tool/resource-level traffic policy; or AI visibility integrated with the Netskope products already in scope. These mechanisms can be valuable in a broader data-security deployment. Include the required inspection content, traffic-policy unit and visibility source in the scope, so the selected deployment supplies the exact data decision the security team needs.

Licensing matters. Agentic Broker requires license enablement through the account team, and creating and enforcing its DLP policies requires the DLP add-on. Include those terms alongside the gateway and endpoint requirements. A dashboard showing an MCP asset and an enforceable DLP policy on that asset may depend on different components in the final proposal.

Deployment and pricing

Willow offers SaaS, hybrid and full on-premises architecture. Hybrid runs tool execution in the customer environment with associated management services in Willow SaaS. Full on-premises runs the complete stack inside the customer’s Kubernetes environment. Netskope AI Gateway can run in a VPC or on-premises, with management, logs and other platform services requiring separate deployment specifications.

As of October 21, 2026, Willow Enterprise pricing is annual and per human seat with volume tiers, and a free plan is available. Request a Netskope proposal that itemizes Agentic Broker, DLP, AI Gateway and Endpoint AI Discovery as applicable. Include operational dependencies and support in that proposal so the commercial comparison reflects the controls the team expects to enforce.

Build the employee AI workflow around Willow

An inventory becomes useful to the employee team when an administrator can act on it. Willow connects a discovered local skill or MCP configuration to a published device rule and an approved replacement. Organization skills and plugins give the team reviewed material to use, with group assignments determining its audience. This creates an administration path from a finding on a device to an approved capability in the employee’s workflow.

Add the action decision to that approved capability. An administrator can enable routine tools and require confirmation before every call to a selected consequential tool. Runtime guards inspect routed arguments and results against configured policy. Publication guards supply an earlier decision over the package itself. Each decision has a defined role in reviewing what employees receive and what their assistants may do through Willow.

The rollout needs enrolled devices for local enforcement, the selected gateway route and owners for capability updates. Willow’s handled-call logs give investigators the request identity, tool and guard outcome, with export options. Choose Willow for this employee capability workflow. Netskope becomes the choice only if the required deployment depends on its MCP DLP, granular traffic policies or connected platform products.

Which product fits the requirement

Which Product Fits the Requirement

willow
Main requirement Product to consider Reason
Act on local skills and plugins and distribute reviewed alternatives Willow Device rules and approved capability workflow.
Add human approval to selected MCP actions Willow Confirmation before each call to a selected tool.
Require Netskope MCP DLP and granular traffic policy Netskopeonly if these mechanisms drive the project DLP inspection and server/tool/resource policy in the chosen traffic path.
Extend an existing Netskope deployment into AI visibility Netskopeonly if the required products are in scope Command Center combines enabled traffic and endpoint sources.

Choose Willow to govern the AI capabilities employees install, receive and invoke. Local policies, reviewed skills and plugins, publication checks and selected tool approval give the team a defined workflow for that responsibility. Explore Willow Enterprise to scope the employee rollout and deployment your organization needs.

FAQ

What is the main difference between Willow and Netskope?

Willow connects local capability discovery with device rules, reviewed skills and plugins, and MCP action controls. Netskope provides AI traffic and data-protection mechanisms through Agentic Broker, AI Gateway and associated products, with Command Center combining the enabled visibility sources.

How does Willow act on endpoint AI discoveries?

Willow’s Scan Agent finds local capabilities, with published rules to allow, warn on or block supported MCPs, skills and plugins. Netskope also discovers endpoint MCP servers, agents and local models through enabled Netskope Client 138 or later. The distinction is the capability workflow required after a finding.

How do Willow action approvals compare with Netskope policies?

Willow can require human confirmation before each call to a selected tool and apply runtime content guards. Netskope can allow or block by server, tool, resource, prompt, activity or token group, with DLP for arguments, results and resources. Confirmation and content policy answer different action-control requirements.

What does Willow add around an MCP gateway?

Willow provides local capability discovery and device policies, organization skills and plugins, publication checks, and human confirmation for selected tools. Those controls govern what employees can load and receive as well as the calls routed through the gateway.

Is Netskope MCP DLP included automatically?

Agentic Broker requires license enablement, and requires a DLP add-on to create and enforce DLP policies. Confirm the exact product and policy path in the commercial scope, including any AI Gateway and endpoint components.

What makes Willow’s employee rollout scope explicit?

Willow’s Scan Agent applies local device rules; the gateway governs routed MCP calls; supported hooks cover selected coding-client events. Netskope Command Center combines enabled source products, with separate protection dependencies. Identify the enforcing component and enrolled devices for each required policy.

Can the products run in private infrastructure?

Willow offers hybrid runtime and full on-premises deployment. Netskope AI Gateway supports a customer VPC or on-premises placement. Specify management, logs and enforcement services separately, since a locally deployed gateway is not the same scope as a fully local platform.

How should pricing and assurance be compared?

Compare Willow’s annual human-seat Enterprise scope with the Netskope licenses and deployment components needed for the same requirements. Willow advertises SOC 2 Type II documentation available under NDA. Request assurance reports and data-handling terms for each proposed architecture.

‍

Table of contents

    Willow vs Microsoft Entra Agent ID

    Microsoft Entra Agent ID manages agent identities, Conditional Access, and lifecycle governance. Willow governs employee AI tools with MCP discovery, device policies, approved skills and plugins, and human approval for sensitive actions.

    ‍

    Willow vs JumpCloud

    JumpCloud manages identities, devices, SSO, and agent access through Agentic IAM. Willow governs employee AI tools with MCP discovery, device policies, approved skills and plugins, runtime security, and human approval for sensitive actions.

    ‍

    Willow vs CyberArk

    CyberArk (Idira) secures privileged agent access through identity management, just-in-time credentials, and MCP policies. Willow governs employee AI tools with local discovery, device policies, approved skills and plugins, and human approval for sensitive actions.

    ‍

    Your agents are already in the wild.

    Give them a Basecamp. Go from AI chaos to AI work, in minutes.