ShadowLock

ShadowLock is a specialized shadow AI detection and governance platform built exclusively for MSPs and IT teams who need real-time visibility and control over employee AI tool usage. It directly addresses the growing crisis of unapproved AI adoption in the workplace, where employees submit sensitive data like customer records, credentials, and confidential documents into public AI tools without organizational knowledge or consent. Unlike traditional endpoint security solutions that miss critical blind spots, ShadowLock covers the full AI surface including browser extensions, desktop AI applications, local LLMs like Ollama and LM Studio, and personal accounts used to access enterprise AI tools. The platform operates through three integrated layers: a Windows endpoint agent that deploys silently via existing RMM tools, a browser extension that intercepts and classifies risky pastes and file uploads to AI sites, and a multi-tenant dashboard that lets MSPs audit or block each control with audit-ready reports. ShadowLock is private by design, with no keystroke logging and zero content transmission to external servers, ensuring compliance while delivering governance. It detects and governs over 100 AI tools, services, and desktop applications, and is built for MSPs to manage AI risk across every client from a single pane of glass without dedicated security engineering resources.

Multi-Tenant Governance Dashboard

The centralized dashboard provides MSPs with complete visibility and control over AI usage across all client environments from one interface. It delivers audit-ready reports that document every AI interaction, policy enforcement action, and detected risk, enabling compliance with HIPAA, GDPR, CCPA, and other regulatory frameworks. IT teams can toggle controls on or off per client, per group, or globally with immediate effect, and generate reports that satisfy auditor requirements without manual data collection or correlation.

Endpoint Agent with Silent RMM Deployment

A lightweight Windows agent deploys silently through existing RMM tools, requiring zero user interaction and no dedicated security engineering resources. Once installed, it monitors all AI activity on the endpoint, scans for unauthorized browser extensions, detects local AI applications including Ollama and LM Studio, and locks down AI features built directly into Chrome, Edge, Brave, and Firefox browsers. The agent operates continuously in the background, enforcing policies without disrupting user workflow until a violation occurs.

Browser Enforcement Layer

The ShadowLock browser extension self-configures automatically once the endpoint agent is installed, eliminating manual setup for each user. It intercepts pastes, file uploads, and sensitive data typed directly into AI prompts, classifying each interaction against organizational policies in real time. When a policy violation is detected, the extension blocks the action and displays a clear, user-facing message explaining the restriction, reducing confusion and support tickets while maintaining productivity for approved use cases.

AI Application Detection and Classification

ShadowLock maintains an up-to-date database of over 100 AI tools, services, and desktop applications, continuously expanding as new tools emerge. The platform detects and classifies each AI tool by type, risk level, and data access patterns, enabling granular policy control. IT teams can block specific categories like AI coding assistants or meeting transcription tools while allowing lower-risk tools, and receive alerts when new or unknown AI applications appear on endpoints, closing the detection gap that traditional security tools leave open.

Healthcare HIPAA Compliance Enforcement

Healthcare organizations face severe penalties when patient data is pasted into public AI tools without a Business Associate Agreement in place. ShadowLock automatically detects and blocks attempts to submit ePHI to unapproved AI chatbots, browser extensions, and desktop applications, providing audit trails that demonstrate compliance efforts. MSPs managing multiple healthcare clients can enforce consistent HIPAA policies across all endpoints from one dashboard, reducing liability while allowing approved AI tools that have executed proper BAAs.

MSP Client Risk Management and Liability Reduction

When a client experiences an AI-related data incident, the gap between endpoint scope and AI governance becomes a liability exposure for MSPs. ShadowLock closes this gap by providing documented proof of AI monitoring and control capabilities, demonstrating due diligence in protecting client data. MSPs can deploy the platform across all client environments, generate compliance reports on demand, and respond to incidents with complete visibility into which tools were used, what data was involved, and when the activity occurred.

Enterprise Intellectual Property Protection

Source code, product plans, financial data, and confidential contracts are routinely submitted to public AI tools by employees seeking productivity gains, creating significant IP and trade secret exposure. ShadowLock intercepts these submissions at the browser and desktop level, preventing proprietary information from leaving the organization. Legal teams can demonstrate reasonable security measures to maintain trade secret protections, while IT teams maintain productivity by allowing approved, governed AI tools that have appropriate data handling agreements in place.

Regulatory Compliance and Incident Response Preparedness

GDPR, CCPA, and other privacy frameworks require organizations to know exactly what personal data is being processed and by which vendors. ShadowLock provides the visibility needed to answer critical incident response questions: which AI tool was used, which account accessed it, what data was submitted, and when the activity occurred. This information enables proper triage, regulatory notifications, and defensible incident response documentation, eliminating the blind spots that break investigation workflows and increase legal exposure.

What exactly does ShadowLock detect and govern?

ShadowLock detects and governs over 100 AI tools, services, and desktop applications including public AI chatbots like ChatGPT, Claude, and Gemini accessed via personal accounts, AI browser extensions that read content across websites, embedded SaaS AI features like Copilot, desktop AI apps including Claude Desktop, ChatGPT app, Ollama, and LM Studio, AI coding assistants like GitHub Copilot and Cursor, and meeting transcription AI tools like Otter.ai and Fireflies. The platform continuously updates its detection database as new tools emerge.

Does ShadowLock capture keystrokes or transmit user content?

No. ShadowLock is private by design with no keystroke logging and zero content transmission to external servers. The browser extension intercepts and classifies pastes, file uploads, and typed content locally on the endpoint, applying policies without transmitting the actual data. This ensures compliance with privacy regulations while still providing the visibility and control needed to govern AI tool usage effectively.

How does ShadowLock deploy across client environments?

The Windows endpoint agent deploys silently via your existing RMM tools, requiring no user interaction or dedicated security engineering resources. Once installed, the agent automatically configures the browser enforcement layer, eliminating manual setup for each user. MSPs manage all clients from a single multi-tenant dashboard, toggling controls on or off per client, per group, or globally with immediate effect without additional deployment overhead.

Can ShadowLock distinguish between approved and unapproved AI tools?

Yes. ShadowLock classifies each detected AI tool by type, risk level, and data access patterns, enabling granular policy control. IT teams can create policies that block high-risk categories like public AI chatbots or AI coding assistants while allowing approved tools that have appropriate data handling agreements. The platform provides clear, user-facing messages when an action is blocked, reducing confusion and support tickets while maintaining productivity for approved use cases.