ShadowLock

ShadowLock is a comprehensive shadow AI detection and governance platform specifically designed for Managed Service Providers (MSPs) and internal IT teams. The platform addresses the growing and critical challenge of employees using unapproved artificial intelligence tools with sensitive corporate data, often without any organizational visibility or control. ShadowLock provides real-time visibility into every AI interaction occurring across an organization, covering the blind spots that traditional managed-device controls frequently miss, including browser extensions, desktop AI applications, local large language models like Ollama, and personal accounts used to access public AI chatbots. The platform operates through three integrated layers: a Windows endpoint agent that deploys silently via existing Remote Monitoring and Management tools, a browser extension that intercepts and classifies risky data pastes to AI sites, and a multi-tenant dashboard that allows MSPs to audit or block each control while generating audit-ready reports. Built specifically for MSPs to govern AI usage across every client from a single, unified interface, ShadowLock is private by design, featuring no keystroke logging and zero content transmission back to its servers. It detects and governs over 100 AI tools, services, and desktop applications, providing the essential visibility to see shadow AI and the controls to stop it before sensitive data leaves the endpoint.

Multi-Layered Endpoint Agent

The Windows endpoint agent deploys silently across all managed endpoints using existing RMM tools, requiring zero user interaction or interruption. Once installed, the agent continuously monitors all AI activity on the device, scanning for installed browser extensions, detecting locally running AI applications such as Claude Desktop and Ollama, and locking down the AI capabilities built directly into Chrome, Edge, Brave, and Firefox browsers. This agent provides foundational visibility and control across the entire endpoint surface.

Intelligent Browser Enforcement Layer

The browser extension self-configures automatically once the endpoint agent is installed, eliminating manual deployment complexity. It actively intercepts pastes, file uploads, and sensitive data typed directly into AI tool prompts, classifying each interaction for risk. The extension enforces data-sharing opt-out settings on each AI tool according to organizational policy and displays clear, user-facing messages explaining why certain actions are blocked or restricted, promoting user awareness and compliance.

Multi-Tenant Governance Dashboard

The centralized, multi-tenant dashboard provides MSPs with a single pane of glass to manage AI governance across every client organization. From this interface, administrators can audit all detected AI activity, review detailed logs of data submissions, and toggle individual controls on or off for specific clients or user groups. The dashboard generates comprehensive, audit-ready reports that document AI usage patterns, policy violations, and enforcement actions, supporting compliance and incident response requirements.

Comprehensive AI Tool Detection

ShadowLock detects and governs over 100 distinct AI tools, services, and desktop applications, covering the full spectrum of modern AI usage. This includes public AI chatbots like ChatGPT, Claude, and Gemini accessed via personal accounts, AI browser extensions that read content across websites, embedded SaaS AI features activated without security review, desktop AI apps running outside browser controls, AI coding assistants with broad file access, and meeting transcription AI tools processing internal communications. The detection library is continuously updated as new tools emerge.

Healthcare HIPAA Compliance Enforcement

Healthcare organizations and their MSPs can use ShadowLock to prevent patient data from being pasted into public AI tools without a Business Associate Agreement in place. The platform detects and blocks protected health information from being submitted to unapproved AI services, preventing HIPAA exposure and potential regulatory penalties. This proactive governance ensures that clinical staff can only use AI tools that have been properly vetted and contracted for protected health information handling.

MSP Client Risk Management

MSPs can deploy ShadowLock across all client endpoints from a single dashboard, providing consistent AI governance without requiring dedicated security engineering at each client site. When a client experiences an AI-related incident, the platform provides immediate visibility into which tools were used, what data was involved, and which accounts were active, protecting the MSP from liability claims and demonstrating proactive due diligence. The multi-tenant architecture makes scaling governance effortless.

Intellectual Property Protection

Organizations handling proprietary source code, confidential contracts, or product plans can use ShadowLock to prevent employees from submitting this sensitive information to public AI chatbots and coding assistants. The platform intercepts and blocks submissions of trade secrets, ensuring that intellectual property protections remain intact and that confidential data is not used to train public AI models. This governance is critical for maintaining competitive advantage and legal protections.

Regulatory Compliance and Incident Response

Companies subject to GDPR, CCPA, or other privacy frameworks can leverage ShadowLock to prevent customer personally identifiable information from being processed through unapproved AI vendors without a lawful basis or compliant data transfer mechanism. In the event of an incident, the platform provides complete audit trails showing which AI tools were involved, what data was submitted, and when the activity occurred, enabling defensible incident response and regulatory notification processes.

How does ShadowLock deploy across an organization without disrupting users?

ShadowLock deploys silently through two integrated components. The Windows endpoint agent is distributed using existing RMM tools, requiring no user interaction or system restarts. Once the agent is installed, the browser extension self-configures automatically on supported browsers including Chrome, Edge, Brave, and Firefox. Users experience clear, informative messages when their actions are blocked or restricted, which promotes understanding and voluntary compliance rather than frustration.

Does ShadowLock record keystrokes or transmit user content to external servers?

No. ShadowLock is designed with privacy as a core principle and does not perform keystroke logging of any kind. The platform operates entirely on the endpoint, classifying data interactions locally without transmitting the actual content of user prompts, pastes, or file uploads to external servers. Only metadata about detected AI activity, such as which tools were used and which policies were triggered, is sent to the dashboard for reporting and auditing purposes.

What types of AI tools and applications can ShadowLock detect and govern?

ShadowLock detects and governs over 100 AI tools, services, and desktop applications. This comprehensive coverage includes public AI chatbots accessed via personal accounts, AI browser extensions that read content across websites, embedded AI features in approved SaaS applications, desktop AI apps running outside browser controls, AI coding assistants with broad file access, and meeting transcription AI tools. The detection library is continuously updated as new AI tools and services emerge in the market.

How does ShadowLock help MSPs manage AI governance across multiple clients?

ShadowLock is built specifically for MSPs with a multi-tenant architecture that allows managing AI governance across every client from a single, unified dashboard. MSPs can view audit logs, configure policies, and toggle controls for each client individually without switching between separate systems. The platform generates audit-ready reports for each client, supporting compliance requirements and demonstrating proactive governance. Deployment uses existing RMM tools, minimizing onboarding effort for each new client organization.