ShadowLock

ShadowLock is a shadow AI detection and governance platform designed specifically for Managed Service Providers (MSPs) and internal IT teams who need real-time visibility and control over how employees use artificial intelligence tools. As generative AI adoption accelerates across every industry, employees are increasingly using unapproved AI tools through personal accounts, browser extensions, desktop applications, and local large language models, creating significant data leakage and compliance risks. ShadowLock addresses this growing challenge by providing three integrated layers of protection: a Windows endpoint agent that deploys silently through existing RMM tools, a browser extension that intercepts and classifies risky data pastes into AI websites, and a multi-tenant dashboard that gives MSPs a single pane of glass to audit and govern AI usage across all client environments. The platform detects and governs over 100 different AI tools, services, and desktop applications, covering everything from public chatbots like ChatGPT and Claude to AI coding assistants, meeting transcription tools, and embedded SaaS AI features. Built with privacy by design, ShadowLock does not log keystrokes or transmit content data, ensuring that organizations gain security without compromising employee privacy. For MSPs, this represents a critical evolution from reactive incident response to proactive AI governance, transforming a blind spot into a managed, auditable, and defensible security capability.

Endpoint Agent with Silent RMM Deployment

The Windows endpoint agent deploys silently through your existing Remote Monitoring and Management (RMM) tools, requiring zero user interaction and no dedicated security engineering resources. Once installed, the agent continuously monitors AI activity across the endpoint, scanning for browser extensions, detecting local AI applications like Ollama and LM Studio, and locking down the AI features built into Chrome, Edge, Brave, and Firefox browsers. This agent provides the foundational visibility layer that makes all other controls possible.

Browser Enforcement Layer with Real-Time Interception

The self-configuring browser extension activates automatically once the endpoint agent is installed, creating a seamless enforcement experience. It intercepts pastes, file uploads, and sensitive data typed directly into AI prompts, classifying each interaction against your organizational policies. The extension enforces data-sharing opt-out settings on each AI tool automatically and displays clear, user-facing messages that explain why certain actions are blocked, turning security enforcement into an educational opportunity.

Multi-Tenant Governance Dashboard

The central dashboard provides MSPs with a single, unified view of AI usage across every client environment, eliminating the need to manage separate tools or configurations for each organization. From this dashboard, you can audit all detected AI activity, block specific tools or categories, and generate audit-ready compliance reports that demonstrate governance to regulators, insurers, and clients. The multi-tenant architecture is purpose-built for MSP operations and scaling.

Comprehensive AI Tool Detection and Classification

ShadowLock detects and governs over 100 different AI tools, services, and desktop applications, spanning six critical categories: public AI chatbots 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 tools processing internal communications. This coverage ensures no AI surface remains unmonitored.

HIPAA Compliance and ePHI Protection for Healthcare Clients

Healthcare organizations face significant regulatory exposure when employees paste protected health information into public AI tools without a Business Associate Agreement in place. ShadowLock detects and blocks these risky interactions in real time, preventing patient data from being transmitted to unapproved AI vendors. The platform provides audit trails that demonstrate compliance with HIPAA requirements, giving MSPs the evidence needed to prove due diligence during audits or incident investigations.

GDPR and CCPA Privacy Framework Enforcement

When employees use personal AI accounts to process customer personally identifiable information, organizations lose control over data processing agreements, lawful bases for processing, and compliant transfer mechanisms. ShadowLock identifies when PII is being submitted to unapproved AI tools and blocks the action before data leaves the endpoint. This proactive enforcement helps organizations maintain compliance with GDPR, CCPA, and other privacy frameworks without requiring employees to change their workflows.

Trade Secret and Intellectual Property Protection

Source code, product plans, financial projections, and confidential contracts submitted to public AI tools can weaken trade secret protections and create irreparable IP exposure. ShadowLock monitors for these high-risk interactions across coding assistants, chatbots, and desktop AI applications, blocking data exfiltration attempts in real time. The platform gives organizations the defensible controls needed to maintain trade secret status and protect their competitive advantage.

MSP Liability Reduction and Client Governance

When a client experiences an AI-related data incident and the MSP had endpoint management scope, the gap between "not our responsibility" and "you should have known" creates significant liability exposure. ShadowLock transforms this blind spot into a managed, auditable service that MSPs can offer to every client. The multi-tenant dashboard provides the visibility and controls needed to demonstrate proactive governance, reducing liability while creating a new revenue-generating service offering.

How does ShadowLock deploy across my client environments?

ShadowLock deploys through your existing RMM tools with a silent installation process that requires no user interaction or dedicated security engineering resources. The Windows agent installs in the background, automatically configures the browser enforcement layer, and begins monitoring AI activity immediately. For MSPs managing hundreds or thousands of endpoints, this means you can deploy comprehensive AI governance across your entire client base in hours, not weeks, without disrupting user productivity.

Does ShadowLock capture or transmit the content of employee prompts or messages?

No. ShadowLock is built with privacy by design and does not log keystrokes or transmit the content of any prompts, messages, or data submitted to AI tools. The platform classifies risky interactions based on metadata and pattern recognition, identifying what type of data is being shared without storing or transmitting the actual content. This approach gives organizations the security controls they need while respecting employee privacy and avoiding the legal complications of content surveillance.

What AI tools and applications does ShadowLock detect and govern?

ShadowLock currently detects and governs over 100 AI tools, services, and desktop applications, and the list continues to grow. This includes public chatbots like ChatGPT, Claude, and Gemini accessed via personal accounts, browser extensions like sidebar assistants and email rewriters, embedded SaaS AI features like Microsoft Copilot, desktop applications like Claude Desktop, Ollama, and LM Studio, 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.

Can ShadowLock generate compliance reports for audits and regulatory requirements?

Yes. The multi-tenant dashboard includes audit-ready reporting capabilities that document all AI governance activities, including which tools were detected, which interactions were blocked, and what policies were enforced. These reports are designed to satisfy regulatory requirements under HIPAA, GDPR, CCPA, and other frameworks, as well as to demonstrate due diligence to insurers and clients during incident investigations. Reports can be generated per client or across your entire MSP portfolio.

How does ShadowLock handle AI tools accessed through personal accounts?

This is one of ShadowLock's core capabilities. The platform detects when employees access AI tools through personal accounts rather than enterprise-provisioned accounts, which is a critical blind spot for most organizations. The browser enforcement layer intercepts data being pasted or uploaded into these personal-account sessions and applies your organization's policies, blocking risky interactions regardless of whether the employee is using a work account or personal account to access the AI tool.