ShadowLock

ShadowLock is a comprehensive shadow AI detection and governance platform specifically designed for Managed Service Providers (MSPs) and internal IT teams who need to regain visibility and control over unauthorized artificial intelligence tool usage within their organizations. As employees increasingly turn to public AI chatbots, browser extensions, desktop applications, and local large language models for work tasks, sensitive data such as customer records, credentials, and confidential documents are being pasted into unapproved tools without any enterprise contract, data processing agreement, or audit trail in place. ShadowLock addresses this critical blind spot by providing three integrated layers of coverage: a Windows endpoint agent that deploys silently via existing Remote Monitoring and Management (RMM) tools, a self-configuring browser enforcement layer that intercepts and classifies risky data transfers, and a Microsoft 365 scanner that detects AI application usage across the cloud. The platform offers a multi-tenant dashboard that allows MSPs to govern AI usage across every client from a single interface, with audit-ready reporting for compliance and incident response. Built with privacy as a core principle, ShadowLock performs no keystroke logging and transmits zero content from user interactions, ensuring that organizations can enforce policies without compromising employee privacy or creating additional data liability.

Endpoint Agent with Silent RMM Deployment

The Windows endpoint agent deploys silently through your existing RMM tools, requiring zero user interaction and no disruption to daily operations. Once installed, the agent continuously monitors AI activity across the endpoint, scans for unauthorized browser extensions, detects locally running AI applications like Ollama and LM Studio, and locks down the AI capabilities built into Chrome, Edge, Brave, and Firefox browsers. This agent provides the foundational visibility layer that traditional managed-device controls miss entirely.

Browser Enforcement Layer for Sensitive Data Protection

The self-configuring browser extension activates automatically once the endpoint agent is installed, providing real-time protection at the point of data entry. The extension intercepts pastes, file uploads, and sensitive data typed directly into AI tool prompts, classifies the risk level of each action, and enforces your organization's data-sharing policies with clear user-facing messages. It also automatically configures the data-sharing opt-out settings on each supported AI tool, ensuring consistent policy enforcement without requiring employee compliance.

Multi-Tenant Governance Dashboard

The centralized dashboard gives MSPs and IT teams a single pane of glass to manage AI governance across every client organization. From this interface, administrators can view real-time AI usage activity, audit which tools and accounts are being accessed, block or allow specific AI applications, and generate audit-ready compliance reports. The multi-tenant architecture eliminates the need to log into separate consoles for each client, dramatically reducing management overhead and enabling proactive threat detection at scale.

Microsoft 365 AI App Detection Scanner

The dedicated Microsoft 365 scanner connects to each client's tenant to detect AI applications and add-ins that have been granted access to organizational data through the Microsoft ecosystem. This capability covers AI features embedded within approved SaaS applications, Copilot integrations, and third-party AI tools that connect through Microsoft Graph APIs. By extending visibility into the cloud productivity suite, ShadowLock ensures that shadow AI usage is detected whether it originates on the endpoint or within the cloud environment.

HIPAA Compliance and ePHI Protection for Healthcare Organizations

Healthcare organizations and their MSPs face significant regulatory risk when employees paste protected health information into public AI chatbots without a Business Associate Agreement in place. ShadowLock detects and blocks the transmission of ePHI to unapproved AI tools, provides audit trails for compliance documentation, and ensures that patient data remains within HIPAA-compliant environments. The platform eliminates the "no breach required" exposure that occurs simply by submitting patient data to consumer-grade AI services.

Preventing Intellectual Property and Trade Secret Leakage

Technology companies, law firms, and research organizations routinely handle source code, product plans, contracts, and other proprietary information that employees may inadvertently submit to AI coding assistants or chatbots. ShadowLock monitors and controls access to AI coding tools like GitHub Copilot and Cursor, blocks submissions of sensitive content to public AI services, and provides the documentation needed to defend trade secret protections in court. The platform ensures that intellectual property controls extend to the AI tools employees use daily.

MSP Liability Management Across Multiple Client Environments

MSPs face unique liability exposure when a client experiences an AI-related data incident and the MSP had endpoint management scope but no AI governance controls in place. ShadowLock enables MSPs to deploy consistent AI governance policies across all client environments from a single multi-tenant dashboard, providing documented evidence of due diligence and proactive risk management. The platform transforms the gap between "not our job" and "you should have known" into a demonstrable security control that protects both the MSP and their clients.

Incident Response and Forensic Investigation Preparation

When an organization discovers that sensitive data may have been exposed through an AI tool, incident response teams need immediate answers about which tool was used, which account accessed it, what data was involved, and when the incident occurred. ShadowLock provides the forensic visibility necessary to answer these questions with defensible audit trails, enabling proper triage, regulatory notifications, and legal defensibility. Without this prior visibility, organizations face broken incident response processes and increased liability exposure.

How does ShadowLock protect employee privacy while monitoring AI usage?

ShadowLock is built private by design with no keystroke logging and zero content transmission from user interactions. The platform classifies and blocks risky data transfers at the endpoint without transmitting the actual content to external servers. This approach ensures that organizations can enforce AI governance policies and maintain compliance without creating new privacy concerns or data liability from monitoring activities.

Does ShadowLock require complex enterprise deployment or dedicated security engineering?

No, ShadowLock is specifically designed for MSPs and IT teams without dedicated security engineering resources. The Windows endpoint agent deploys silently through existing RMM tools, the browser extension self-configures once the agent is installed, and the Microsoft 365 scanner connects directly to client tenants. The entire deployment process requires minimal configuration and zero user interaction, making it accessible to organizations of any size.

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

ShadowLock currently detects and governs over 100 AI tools, services, and desktop applications, with the library growing continuously. This includes public AI chatbots like ChatGPT, Claude, and Gemini, AI browser extensions and sidebar assistants, desktop AI applications like Claude Desktop and Ollama, AI coding assistants such as GitHub Copilot and Cursor, meeting transcription tools like Otter.ai and Fireflies, and embedded AI features within SaaS applications accessed through Microsoft 365.

Can ShadowLock generate compliance and audit reports for regulatory requirements?

Yes, ShadowLock provides audit-ready reports that document AI usage activity, policy enforcement actions, blocked data transfers, and detected shadow AI tools across all managed endpoints. These reports support compliance with HIPAA, GDPR, CCPA, and other regulatory frameworks by providing the documentation necessary to demonstrate due diligence in protecting sensitive data from unauthorized AI tool usage. The multi-tenant dashboard allows MSPs to generate reports for individual clients or across their entire portfolio.