Endpoint AI Governance: Pricing, Free Demo & Features

Last Updated Sep 8, 2026

Overview

Endpoint AI Governance provides full-device AI protection by extending governance beyond the browser to AI running on employee devices. Although it does not replace existing DLP, the software works alongside it to cover AI activity. Overall, it exposes the AI activity across the workstation that browser-based DLP leaves unseen.

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Starting Price

Custom

Endpoint AI Governance Specifications

Data Encryption
Security Audits And Reporting
Cloud Security
Security Measure
Firewall Protection
Anti-Virus And Anti-Malware
Threat Intelligence
Phishing Prevention
Vulnerability Management
Multi-Factor Authentication

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What Is Endpoint AI Governance?

Endpoint AI Governance by AccuroAI is an AI security product. It helps organizations with visibility and control over AI applications, coding assistants, and local AI agents running on employee devices. The solution can discover AI software on endpoints and monitor desktop apps and IDEs like Claude Desktop and ChatGPT. It also applies data protection policies directly to the device. This can be used by organizations to control AI usage on employee devices and protect sensitive data.

What Is Endpoint AI Governance Best For?

The software stands out for its ‘IDE and extension monitoring,’ which covers AI coding tools that might not be visible to browser-based DLP. It also monitors tools such as GitHub Copilot and Cursor during development and applies guardrails to their use. Additionally, security and IT teams can get visibility into AI activity inside IDEs and allow developers to use their coding assistants without restrictions.

How Much Does Endpoint AI Governance Cost?

Endpoint AI Governance pricing is estimated to start at $15–$40 per user per month, according to industry benchmarks for similar solutions. This range is provided for general budgeting purposes, as actual pricing may vary based on the organization’s requirements and deployment scope.

In addition to the base subscription costs, organizations should account for the following expenses:

Implementation And Deployment: Starts at $5,000, larger deployments may require additional configuration, rollout planning, and internal IT support
SIEM/SOAR Integration: $1,000–$5,000, integrating AI activity alerts with existing SIEM or SOAR workflows may require technical configuration
Custom Policy Configuration: $1,000-$5,000, organizations may need professional or internal security resources to configure custom AI governance policies
Custom Classifier Configuration: $1,000–$5,000, creating and testing organization-specific regex or LLM classifiers can require additional configuration work
Private Cloud Or On-Premises Deployment: $5,000–$25,000, non-SaaS deployments may require infrastructure setup, security reviews, and deployment support
DLP And Security Stack Integration: $2,000–$10,000, connecting Endpoint AI Governance with existing DLP

Request a custom Endpoint AI Governance cost estimate today!

Disclaimer: Pricing references are based on publicly available third-party information and industry benchmarks. Actual costs may vary.

Endpoint AI Governance Integrations

The vendor has not specified any information about Endpoint AI Governance integration with third-party platforms.

How Does Endpoint AI Governance Work?

Follow the steps below to access the platform easily:

Log in to the AccuroAI console to access endpoint governance settings and device information
Deploy Endpoint AI Governance through the existing AccuroAI rollout to extend coverage to employee devices
Discover AI applications, IDE extensions, and local agents installed or running across connected devices
Review discovered AI tools and identified applications that require governance or further action
Configure policies to monitor sensitive data and control how AI apps and agents can access it
Provision or revoke individual AI apps and agents from the central console based on organizational policies
Monitor endpoint activity and policy enforcement across desktop apps, IDEs, local agents, and browser-based AI
Review governance activity and audit information to assess AI usage and support compliance reporting

Book a free Endpoint AI Governance demo and see how it helps control AI applications.

Who Is Endpoint AI Governance For?

The platform supports organizations across industries where employees use AI applications and tools on their devices, including:

Financial services
Healthcare
Technology and SaaS
Legal
Retail and e-commerce

Endpoint AI Governance Use Cases

Based on our analysis of Endpoint AI Governance’s current offerings, we have identified some key scenarios where this platform is a strong fit:

1. Security Teams Identifying Unapproved AI Tools Across Employee Devices

Security teams can use the software to discover AI tools that employees are using across browsers, SaaS applications, and network activity. The platform provides information on the applications, number of users, and risk levels, helping teams classify them through actions such as reviewing or blocking them. This gives security teams a way to identify address shadow AI use across the organization.

2. Security Teams Preventing Sensitive Data From Reaching AI Models

Organizations handling personal information, health information, source code, or customer data can use Endpoint AI Governance to inspect AI prompts before they reach a model. Its Data Shield capability can identify data such as SSNs, email addresses, payment card information, and API keys, then block it according to defined rules. This approach is relevant for employees who use AI tools to help organizations address potential data exposure risks.

3. Compliance Teams Monitoring AI Activity And Policy Events

Compliance and security teams can use the platform to monitor AI activity across the organization and review policy events. The dashboard provides information such as prompt volumes and triggered policies, helping teams use executive summaries, detailed activity views, and audit evidence. It can also support organizations that need ongoing visibility into AI activity for internal reviews or audit preparation.

4. Security Teams Applying Consistent AI Policies Across Models And Users

Teams can use Endpoint AI Governance when working with different AI models and applications. Policies applied to models or users can define actions like redacting sensitive information or blocking certain data and can be reviewed as requirements change. The platform also maintains audit records of policy enforcement. This is useful for organizations with specific AI rules for prompts, responses, and agents.

Is Endpoint AI Governance Right For You?

Endpoint AI Governance is a good fit for organizations that want to extend the Discover, Protect, and Govern framework directly to employee devices. It uses the same policy engine and central console across browser, desktop, and endpoint activity, with inline DLP inspection at sub-38ms. Its control system also maps eight compliance frameworks that are helpful for teams to centralize governance as AI use expands across the organization.

From a security perspective, AccuroAI states that its platform uses TLS 1.3 for data in transit and AES-256 encryption for data at rest. It also supports SSO, SCIM provisioning, role-based access, and tamper-evident audit logs. AccuroAI reports SOC 2 Type II, ISO 27001, and ISO 42001 certifications, which may be relevant for organizations with formal security and AI governance requirements.

Still doubtful if Endpoint AI Governance is the right fit for you? Contact us at (661) 384-7070 for further guidance.

Endpoint AI Governance Features

Local Application Discovery

The platform creates an inventory of desktop applications installed on employee machines, including AI-enabled software. It identifies applications that operate outside the browser and gives security teams visibility into the software installed on endpoints. With a catalog of 1,400+ AI tools, it can help teams identify AI applications before they become a security finding.

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Provision And Revoke From One Console

The software lets security teams manage access to discovered applications and AI agents from one console. Access can be granted or revoked at the individual app or agent level, with controls enforced directly on the employee device rather than only at the network level. This helps teams manage AI applications that may not appear through network-based security controls.

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Desktop AI App Protection

Endpoint AI Governance software provides DLP coverage for desktop AI applications such as Claude Desktop and ChatGPT desktop. It also monitors sensitive data when employees use these applications even if they access them through a browser or directly from their devices. This method extends data protection to AI applications that operate outside browser-based controls.

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On-Device AI Agent Governance

This feature discovers local AI agents and monitors their activity in real time on employee devices. The system also applies organizational policies when these agents take action on the endpoint. Security teams can monitor and control local AI agent activity as it happens without reviewing it only after an incident.

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Pros And Cons of Endpoint AI Governance

A quick look at Endpoint AI Governance's strengths and weaknesses to
help you decide if it's the right fit

Pros

Monitors AI activity outside browsers
Enforces policies directly on endpoints
Deploys through existing AccuroAI rollout
Works alongside existing DLP solutions

Cons

Onboarding process may require dedicated security team resources
Policy configuration may require security expertise
Support documentation may not cover all scenarios

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Frequently Asked Questions

Quick answers to common questions to help you better understand the product, features, and services.

Who are the typical users of Endpoint AI Governance?

Endpoint AI Governance features are used by various industries and sectors, such as technology and SaaS, legal services, financial services, healthcare, and retail and e-commerce.

What types of pricing plans does Endpoint AI Governance offer?

Endpoint AI Governance price approximately starts at $15–$40 per user per month. Get a detailed Endpoint AI Governance cost tailored to your specific requirements.

What level of support does Endpoint AI Governance offer?

The vendor offers support via blogs, contact form, and email.

What language does Endpoint AI Governance support?

Endpoint AI Governance primarily supports English.

Does Endpoint AI Governance offer an API?

No, the vendor has not disclosed information about API.

What other apps does Endpoint AI Governance integrate with?

Information about third-party integrations has not been specified by the vendor.

Does Endpoint AI Governance have a mobile app?

No, Endpoint AI Governance currently does not offer a dedicated mobile app.