ShadowLock

ShadowLock is a comprehensive shadow AI detection and governance platform purpose-built 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. In an era where employees routinely paste customer records, credentials, confidential documents, and proprietary code into public AI chatbots, browser extensions, desktop applications, and local large language models, ShadowLock provides the essential layer of security that traditional managed-device controls miss entirely. The platform operates through a three-tier architecture: a browser extension that intercepts and classifies risky pastes and file uploads to AI sites, a Windows endpoint agent that deploys silently via existing RMM tools to detect and block unauthorized desktop AI applications like Ollama and LM Studio, and a multi-tenant dashboard that gives MSPs the power to audit, block, or govern AI usage across every client from a single pane of glass. ShadowLock covers the entire AI attack surface including public AI chatbots accessed via personal accounts, AI browser extensions that read content across every site employees visit, embedded SaaS AI features activated without security review, desktop AI apps running outside browser-based controls, AI coding assistants with broad file access, and meeting transcription tools processing sensitive internal discussions. Built with privacy as a foundational principle, ShadowLock never performs keystroke logging and transmits zero content from user sessions, ensuring that governance does not come at the cost of employee privacy. The platform generates audit-ready reports that help organizations demonstrate compliance with HIPAA, GDPR, CCPA, and other regulatory frameworks, while addressing the growing liability exposure that MSPs face when client AI incidents occur under their managed endpoint scope.

Real-Time Browser Extension for AI Activity Interception

The ShadowLock browser extension installs automatically once the endpoint agent is deployed and immediately begins intercepting and classifying risky pastes, file uploads, and sensitive data typed directly into AI tool prompts. The extension enforces data-sharing opt-out settings on each AI tool automatically, applies your organization's specific policies with clear user-facing messages that explain why certain actions are blocked, and covers all major browsers including Chrome, Edge, Brave, and Firefox. This feature ensures that sensitive data never leaves the endpoint without explicit governance, providing a critical safety net that operates entirely at the point of use.

Silent Windows Endpoint Agent with RMM Integration

ShadowLock deploys a lightweight Windows agent silently through your existing Remote Monitoring and Management (RMM) tools, requiring zero user interaction and no disruption to daily workflows. The agent continuously monitors for AI-related activity, scans for unauthorized browser extensions, detects locally installed AI applications such as Claude Desktop, ChatGPT app, Ollama, and LM Studio, and locks down the AI features built directly into browsers. This agent-based approach ensures comprehensive coverage across all Windows endpoints in your managed environment without requiring dedicated security engineering resources or complex deployment procedures.

Multi-Tenant Governance Dashboard for MSPs

The multi-tenant dashboard provides MSPs with a unified command center to audit, block, or govern AI usage across every client organization from a single interface. IT teams can view real-time AI activity across all managed endpoints, identify which AI tools are in active use, understand what types of sensitive data are being submitted, and apply granular policies that vary by client, department, or user group. The dashboard generates comprehensive audit-ready reports that satisfy compliance requirements and provide defensible documentation for incident response, regulatory audits, and client conversations about AI governance.

Comprehensive AI Surface Detection and Classification

ShadowLock detects and governs over 100 AI tools, services, and desktop applications, covering the full spectrum of modern AI usage including public chatbots like ChatGPT, Claude, and Gemini, AI browser extensions that act as sidebar assistants and email rewriters, embedded AI features within approved SaaS applications, desktop AI apps running locally, AI coding assistants like GitHub Copilot and Cursor, and meeting transcription tools like Otter.ai and Fireflies. The platform continuously updates its detection capabilities as new AI tools emerge, ensuring that your governance coverage remains current and comprehensive.

Healthcare HIPAA Compliance and ePHI Protection

Healthcare organizations and their MSPs use ShadowLock to prevent patient data and electronic Protected Health Information (ePHI) from being pasted into public AI tools that lack Business Associate Agreements (BAAs). When employees inadvertently submit patient records, diagnosis information, or treatment plans to ChatGPT or similar tools, ShadowLock intercepts the action at the browser level, blocks the submission, and logs the attempt for compliance auditing. This protection is critical because HIPAA exposure occurs the moment ePHI leaves a covered entity's control, regardless of whether a breach is subsequently detected.

MSP Client Risk Management and Liability Mitigation

MSPs deploy ShadowLock across their client base to proactively address the growing liability exposure created by shadow AI usage. When a client experiences an AI-related data incident, the gap between "not our job" and "you should have known" represents significant legal and financial risk for the MSP. ShadowLock provides the documented visibility and controls that demonstrate due diligence, generates audit trails that support incident response, and enables MSPs to have informed conversations with clients about AI governance before incidents occur rather than after.

Enterprise Intellectual Property and Trade Secret Protection

Organizations handling proprietary source code, product plans, contracts, and confidential business strategies use ShadowLock to prevent these assets from being submitted to public AI tools. AI coding assistants like GitHub Copilot and Cursor have broad file access that can expose entire codebases, while employees using personal accounts for ChatGPT or Claude may inadvertently submit trade secrets that weaken legal protections. ShadowLock blocks these submissions at the endpoint while allowing legitimate, approved AI usage to continue uninterrupted.

Regulatory Compliance for GDPR, CCPA, and Privacy Frameworks

Companies subject to GDPR, CCPA, and other privacy regulations use ShadowLock to ensure that customer Personally Identifiable Information (PII) is not processed through unapproved AI vendors without proper Data Processing Agreements (DPAs) and lawful transfer mechanisms. The platform provides the visibility needed to demonstrate compliance during regulatory audits, generates reports that document which AI tools are in use and what data types they access, and enforces policies that prevent unauthorized data processing while allowing approved AI workflows to proceed.

Does ShadowLock capture or transmit the actual content of employee prompts and conversations?

No. ShadowLock is built with privacy as a fundamental design principle and never performs keystroke logging or transmits the content of user sessions. The platform classifies and intercepts risky actions based on data type detection and policy rules, but the actual text, files, or conversation content remain on the endpoint and are never sent to ShadowLock servers or any third party. This approach ensures that organizations can govern AI usage without creating privacy concerns or legal complications from monitoring employee communications.

How does ShadowLock deploy across multiple client environments for MSPs?

ShadowLock is designed specifically for MSP multi-tenant deployment. The Windows endpoint agent deploys silently through your existing RMM tools with no user interaction required, and the browser extension self-configures once the agent is installed. The multi-tenant dashboard allows MSPs to manage policies, view activity, and generate reports across all clients from a single interface. This architecture eliminates the need for separate deployments, dedicated security engineering resources, or complex configuration for each client environment.

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

ShadowLock detects and governs over 100 AI tools, services, and desktop applications across six categories: public AI chatbots (ChatGPT, Claude, Gemini) accessed via personal or enterprise accounts, AI browser extensions that read content across websites, embedded AI features inside approved SaaS applications, desktop AI apps (Claude Desktop, ChatGPT app, Ollama, LM Studio), AI coding assistants (GitHub Copilot, Cursor), and meeting transcription tools (Otter.ai, Fireflies). The platform continuously updates its detection capabilities as new AI tools emerge in the market.

Can ShadowLock be used alongside existing endpoint security and DLP solutions?

Yes. ShadowLock is designed to complement existing endpoint security, Data Loss Prevention (DLP), and managed detection and response solutions rather than replace them. The platform fills the specific blind spot that traditional controls miss: AI tool usage that occurs through browser extensions, desktop applications, local LLMs, and personal accounts outside corporate-managed environments. ShadowLock integrates seamlessly with existing RMM tools for deployment and can export audit data to SIEM and reporting platforms for consolidated security operations.