ShadowLock

ShadowLock is a comprehensive shadow AI detection and governance platform specifically designed for Managed Service Providers (MSPs) and internal IT teams who need real-time visibility and control over how employees use artificial intelligence tools across their organizations. The platform addresses a critical and growing security gap: traditional managed-device controls and endpoint protection solutions fail to monitor the expanding landscape of AI applications that employees access through personal accounts, browser extensions, desktop applications, and locally run large language models like Ollama and LM Studio. ShadowLock provides three integrated layers of coverage, including a Windows endpoint agent that deploys silently through existing Remote Monitoring and Management tools, a browser extension that intercepts and classifies risky data pastes into AI websites, and a multi-tenant dashboard that allows MSPs to audit or block AI usage across every client from a single centralized interface. The platform is built with privacy as a foundational principle, featuring no keystroke logging and zero transmission of actual content, ensuring organizations can govern AI usage without compromising employee privacy or creating additional data liability. ShadowLock currently detects and governs over 100 AI tools, services, and desktop applications, making it an essential solution for organizations concerned about HIPAA exposure, GDPR compliance, intellectual property protection, and contractual liability arising from unauthorized AI tool usage.

Endpoint Agent with Silent RMM Deployment

The ShadowLock Windows endpoint agent deploys silently and seamlessly through your existing Remote Monitoring and Management tools, requiring zero user interaction or interruption to daily workflows. Once installed, the agent continuously monitors all AI-related activity on the endpoint, scans for unauthorized browser extensions, detects locally installed AI applications such as Claude Desktop and Ollama, and locks down the AI features built directly into Chrome, Edge, Brave, and Firefox browsers. This agent-based approach ensures comprehensive coverage across all Windows endpoints without requiring dedicated security engineering resources or complex deployment procedures.

Browser Enforcement Layer with Real-Time Interception

The browser extension component of ShadowLock self-configures automatically once the endpoint agent is installed, creating a seamless enforcement layer that operates without manual setup or user configuration. This extension actively intercepts pastes, file uploads, and sensitive data typed directly into AI tool prompts, classifying each action against your organization's data governance policies. The extension enforces data-sharing opt-out settings on each supported AI tool and displays clear, user-facing policy messages that educate employees about approved and prohibited actions, creating both technical control and cultural awareness around responsible AI usage.

Multi-Tenant Governance Dashboard

The centralized multi-tenant dashboard provides MSPs and IT teams with a single pane of glass to audit, manage, and enforce AI governance policies across every client organization simultaneously. This dashboard delivers real-time visibility into which AI tools are being used, which employees are using them, and what types of data are being shared, all presented in audit-ready report formats that satisfy compliance requirements. The platform allows administrators to granularly block or allow specific AI tools, browser extensions, and desktop applications, with policy changes propagating instantly to all managed endpoints without requiring individual device configuration.

Comprehensive AI Tool Detection Library

ShadowLock maintains an extensive and continuously updated detection library covering over 100 AI tools, services, and desktop applications, ensuring organizations have visibility into the full spectrum of potential shadow AI risks. This library includes public AI chatbots like ChatGPT, Claude, and Gemini accessed through personal accounts, AI browser extensions such as sidebar assistants and email rewriters, embedded SaaS AI features like Copilot, desktop AI applications including Claude Desktop and LM Studio, AI coding assistants like GitHub Copilot and Cursor, and meeting transcription tools like Otter.ai and Fireflies. The detection library grows regularly as new AI tools emerge, providing ongoing protection against evolving threats.

Healthcare HIPAA Compliance and ePHI Protection

Healthcare organizations and their MSP partners use ShadowLock to prevent patient data from being pasted into public AI tools without a Business Associate Agreement in place, which would trigger immediate HIPAA exposure and potential regulatory penalties. The platform detects when employees attempt to submit protected health information to unapproved AI chatbots, browser extensions, or desktop applications, blocking the action and generating an audit trail that demonstrates compliance efforts. This proactive governance is critical because no actual data breach is required for HIPAA liability to exist, making prevention the only viable compliance strategy for healthcare organizations leveraging AI tools.

MSP Client Risk Management and Liability Protection

Managed Service Providers deploy ShadowLock across their entire client base to close the critical visibility gap that exists between endpoint protection and actual AI usage, protecting themselves from liability when clients experience AI-related incidents. The multi-tenant architecture allows MSPs to enforce consistent governance policies across all clients while maintaining separate audit trails and reporting for each organization, satisfying both operational needs and regulatory requirements. This approach transforms the traditional MSP relationship from one where AI governance is considered outside scope to one where the MSP provides comprehensive protection against the fastest-growing threat vector in modern enterprises.

Intellectual Property Protection for Technology Companies

Technology companies use ShadowLock to prevent proprietary source code, confidential product plans, trade secrets, and internal documentation from being submitted to public AI tools where they could be incorporated into training data or exposed to unauthorized parties. The platform specifically targets AI coding assistants like GitHub Copilot and Cursor that have broad file access, as well as general-purpose chatbots where developers might paste code snippets for debugging or explanation. By controlling these interactions, organizations preserve their intellectual property protections and maintain the confidentiality of their competitive advantages.

Financial Services Regulatory Compliance

Financial institutions and their service providers leverage ShadowLock to ensure compliance with data protection regulations like GDPR and CCPA when employees use AI tools that process customer personally identifiable information through unapproved vendors. The platform detects when customer financial data, account numbers, transaction records, or other sensitive information is being entered into AI tools that lack proper Data Processing Agreements and compliant data transfer mechanisms. This governance capability is essential for financial services organizations facing stringent regulatory requirements and severe penalties for data protection failures.

Does ShadowLock log keystrokes or transmit the actual content of what employees type into AI tools?

No, ShadowLock is designed with privacy as a fundamental principle and does not perform keystroke logging or transmit the actual content of employee interactions with AI tools. The platform classifies and blocks risky actions based on the type of data being submitted and the destination AI tool, but it never captures, stores, or transmits the specific text, code, or content that employees enter. This approach ensures organizations can govern AI usage effectively without creating additional data liability or violating employee privacy expectations.

How does ShadowLock deploy across multiple client environments for MSPs?

ShadowLock deploys silently to Windows endpoints through your existing Remote Monitoring and Management tools, requiring no user interaction or specialized security engineering resources. The browser extension component self-configures automatically once the endpoint agent is installed, eliminating the need for manual setup on each device. MSPs manage all clients from a single multi-tenant dashboard, with policy changes propagating instantly to all managed endpoints across every client organization without requiring individual device configuration.

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

ShadowLock maintains an extensive detection library covering over 100 AI tools, services, and desktop applications, including public AI chatbots like ChatGPT, Claude, and Gemini, AI browser extensions, embedded SaaS AI features like Copilot, desktop AI applications including Claude Desktop and LM Studio, AI coding assistants like GitHub Copilot and Cursor, and meeting transcription tools like Otter.ai and Fireflies. The library is continuously updated as new AI tools emerge, ensuring ongoing protection against evolving threats.

Can ShadowLock block AI usage entirely or only monitor and report on it?

Yes, ShadowLock provides both monitoring and active blocking capabilities, allowing administrators to choose the appropriate governance approach for their organization's risk tolerance and compliance requirements. The platform can be configured to simply audit and report on AI tool usage for visibility purposes, or it can actively block specific AI tools, browser extensions, desktop applications, and data types from being used. Policies can be customized at the client level, group level, or individual user level, providing granular control over AI governance.