ShadowLock

ShadowLock is a comprehensive shadow AI detection and governance platform purpose-built for Managed Service Providers (MSPs) and internal IT teams who need to regain control over the rapidly expanding universe of unapproved AI tools in their organizations. The platform addresses a critical blind spot in modern endpoint security: the fact that employees are actively using personal AI accounts, browser extensions, desktop applications, and local large language models (LLMs) to process sensitive data without any oversight, compliance review, or data protection agreement. ShadowLock provides real-time visibility into every AI interaction happening across your endpoints, from ChatGPT and Claude to Ollama and AI coding assistants, and gives you the power to block, audit, or allow each tool based on your specific policies. Unlike traditional endpoint controls that focus on managed devices, ShadowLock covers the gaps by monitoring browser extensions, desktop AI apps, and even AI features embedded within approved SaaS applications. The platform is deployed through a lightweight Windows agent that integrates silently with your existing RMM tools, a self-configuring browser extension that intercepts risky data submissions, and a multi-tenant dashboard that lets you govern AI usage across every client from one centralized location. Built with privacy as a foundational principle, ShadowLock never logs keystrokes and transmits zero content from user interactions, ensuring compliance while delivering the visibility and control MSPs need to protect their clients from legal, regulatory, and reputational risk.

Real-Time Shadow AI Detection and Classification

ShadowLock continuously monitors all AI-related activity across your endpoints, including browser-based interactions with public chatbots like ChatGPT, Claude, and Gemini, desktop applications like Ollama and LM Studio, and AI browser extensions that read content across every site employees visit. The platform classifies each interaction based on risk level, data sensitivity, and compliance requirements, giving you immediate visibility into which tools are being used, by whom, and with what type of data. This real-time detection capability ensures that no shadow AI activity goes unnoticed, providing the foundational awareness needed to enforce governance policies effectively.

Silent Endpoint Agent with RMM Integration

The ShadowLock Windows agent deploys silently through your existing RMM tools with zero user interaction or disruption to daily workflows. Once installed, the agent actively monitors for AI applications, scans installed browser extensions for AI capabilities, detects local LLM installations, and locks down the AI features built into Chrome, Edge, Brave, and Firefox browsers. The agent operates entirely in the background, requiring no end-user training or configuration changes, making it ideal for MSPs who need to deploy across hundreds or thousands of endpoints quickly and consistently.

Browser Enforcement Layer for Data Protection

ShadowLock’s browser extension automatically configures itself once the endpoint agent is installed, creating a seamless enforcement layer that intercepts pastes, file uploads, and sensitive data typed directly into AI prompts. The extension applies your organization’s data-sharing policies in real-time, blocking or warning users before they submit customer records, credentials, or confidential documents to unapproved AI tools. Clear, user-facing messages explain why certain actions are blocked, reducing friction and helping employees understand compliance requirements without additional training.

Multi-Tenant Governance Dashboard

The ShadowLock dashboard provides MSPs with a single pane of glass to manage AI governance across every client organization. From this centralized interface, you can audit all detected AI activity, configure granular controls for each client or user group, generate audit-ready compliance reports, and respond to incidents with full visibility into which tools were involved and what data was at risk. The dashboard supports role-based access control, allowing you to delegate management to client IT teams while maintaining overall oversight, and provides real-time alerts for high-risk activities that require immediate attention.

Protecting Healthcare Organizations from HIPAA Violations

Healthcare providers and their MSPs face significant risk when employees use public AI tools like ChatGPT or Claude to process patient data, medical records, or clinical notes without a Business Associate Agreement (BAA) in place. ShadowLock detects these interactions in real-time, blocks the submission of protected health information (ePHI) to unapproved tools, and provides audit trails that demonstrate compliance with HIPAA requirements. The platform helps healthcare organizations avoid the legal and financial consequences of data breaches while enabling employees to use approved AI tools safely.

Securing Legal and Financial Services from IP and Trade Secret Exposure

Law firms, financial institutions, and other professional services organizations handle highly sensitive client data, proprietary documents, and trade secrets that cannot be exposed through public AI tools. ShadowLock monitors for submissions of contracts, financial models, litigation strategies, and other confidential information to AI platforms, blocking unauthorized transfers and providing clear documentation for compliance audits. The platform helps these organizations maintain their professional obligations while preventing the inadvertent weakening of trade secret protections through uncontrolled AI usage.

Enabling MSPs to Govern AI Across All Clients from One Place

MSPs managing multiple client environments need a unified solution that scales across diverse organizations with different compliance requirements and risk tolerances. ShadowLock’s multi-tenant dashboard allows MSPs to deploy consistent AI governance policies across all clients, customize controls for specific industries or regulatory frameworks, and generate consolidated reports that demonstrate proactive risk management. This centralized approach reduces operational complexity, eliminates the need for separate security tools at each client site, and positions MSPs as trusted advisors who protect their clients from emerging AI-related threats.

Responding to AI-Related Incidents with Complete Visibility

When an organization discovers that sensitive data may have been exposed through an AI tool, the ability to quickly determine what happened is critical for incident response, regulatory notification, and legal defensibility. ShadowLock provides complete visibility into all AI interactions before, during, and after an incident, allowing security teams to identify which tools were used, what data was submitted, and which users were involved. This forensics capability enables organizations to make informed decisions about breach notifications, meet regulatory reporting deadlines, and defend their response actions in court if necessary.

Does ShadowLock capture or transmit the content of employee interactions with AI tools?

No. ShadowLock is designed with privacy as a core principle and never logs keystrokes or transmits the actual content of user interactions with AI tools. The platform only captures metadata about which AI tools are being used, what type of data is being submitted (classified by sensitivity level), and whether the interaction was allowed or blocked. This approach ensures compliance with privacy regulations while still providing the visibility needed for effective governance and incident response.

How does ShadowLock deploy across multiple endpoints without disrupting users?

ShadowLock deploys through a lightweight Windows agent that integrates with your existing RMM tools, allowing silent installation across hundreds or thousands of endpoints with zero user interaction. The agent runs in the background without requiring any configuration changes from end users, and the browser extension self-configures once the agent is installed. This deployment model ensures that organizations can implement AI governance quickly and consistently without disrupting daily workflows or requiring extensive IT resources.

Can ShadowLock distinguish between approved and unapproved AI tools?

Yes. ShadowLock provides granular controls that allow you to create policies for specific AI tools, categories of tools, or all AI interactions. You can whitelist approved tools that have undergone security review and have appropriate data protection agreements in place, while blocking or auditing all other AI activity. The platform detects over 100 AI tools, services, and desktop applications, and you can add custom tools to your policy configuration as new AI services emerge.

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

ShadowLock covers the full spectrum of AI tools that employees might use, including public AI chatbots like ChatGPT, Claude, and Gemini accessed through personal accounts, AI browser extensions that read content across websites, desktop AI applications like Claude Desktop, the ChatGPT app, Ollama, and LM Studio, AI coding assistants like GitHub Copilot and Cursor, meeting transcription tools like Otter.ai and Fireflies, and embedded AI features within approved SaaS applications. The platform is continuously updated to detect new AI tools as they emerge.