ShadowLock

ShadowLock detects and blocks unapproved AI tools to prevent sensitive data leaks across your organization.

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Published on:

June 26, 2026

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ShadowLock application interface and features

About ShadowLock

ShadowLock is a comprehensive 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. The platform addresses a critical and growing blind spot in endpoint security: unapproved AI usage that happens outside traditional managed-device controls. ShadowLock covers browser extensions, desktop AI applications, local Large Language Models like Ollama, and personal accounts on public AI services. The solution operates through three integrated layers: a browser extension that intercepts and classifies risky pastes to AI websites, a Windows agent that blocks unauthorized desktop AI apps and deploys silently through existing RMM tools, and a multi-tenant dashboard that lets administrators audit or block each control with audit-ready reports. Built for MSPs to govern AI usage across every client from a single pane of glass, ShadowLock is private by design with no keystroke logging and zero content transmission to external servers. The platform detects and governs over 100 AI tools, services, and desktop applications, addressing the reality that 69% of organizations suspect employees are using prohibited AI, and over 50% of AI use at work happens without employer approval.

Features of ShadowLock

Endpoint Agent for Windows

The ShadowLock endpoint agent deploys silently to Windows endpoints through your existing RMM tools with zero user interaction required. Once installed, it continuously monitors AI activity across the system, scans for unauthorized browser extensions, detects locally installed AI applications like Ollama and LM Studio, and locks down the AI features built into Chrome, Edge, Brave, and Firefox. The agent operates without disrupting user workflows while maintaining complete visibility into all AI-related actions on the endpoint.

Browser Enforcement Layer

The browser extension component self-configures automatically once the endpoint agent is installed on a device. It actively intercepts pastes, file uploads, and sensitive data typed directly into AI tool prompts. The extension enforces data-sharing opt-out settings on each AI tool and applies your organization's specific policies with clear, user-facing messages that explain why an action was blocked. This provides real-time protection at the point where data leaves the endpoint.

Multi-Tenant Governance Dashboard

The centralized dashboard gives MSPs and IT teams a single view across all managed clients for auditing and controlling AI usage. Administrators can review detailed activity logs, configure block and allow lists for specific AI tools, generate audit-ready compliance reports, and apply policy changes across all endpoints simultaneously. The dashboard supports role-based access controls and provides actionable insights into emerging AI usage patterns across the organization.

Microsoft 365 AI App Scanner

The M365 scanner connects directly to each client's Microsoft 365 tenant to detect and catalog all AI applications and add-ins that users have authorized through their Microsoft accounts. This identifies shadow AI usage that occurs through embedded SaaS AI features like Copilot and AI writing tools inside approved applications. The scanner provides visibility into AI tools that operate entirely outside browser-based controls and traditional endpoint monitoring.

Use Cases of ShadowLock

Healthcare HIPAA Compliance

Healthcare organizations and their MSPs use ShadowLock to prevent patient data from being pasted into public AI chatbots like ChatGPT and Claude. When a clinician attempts to submit ePHI to an unapproved AI tool without a Business Associate Agreement in place, the browser extension intercepts the action and blocks the submission. This prevents HIPAA exposure before any data leaves the endpoint, eliminating the risk of regulatory penalties and breach notification requirements.

MSP Client Risk Management

MSPs deploy ShadowLock across all client environments to establish a consistent AI governance framework. The multi-tenant dashboard allows the MSP to monitor AI usage patterns, enforce data protection policies, and generate compliance reports for each client from a single interface. This proactive approach protects the MSP from liability when clients experience AI-related incidents, as the MSP can demonstrate documented controls and audit trails.

Law firms, technology companies, and organizations handling sensitive intellectual property use ShadowLock to prevent source code, contracts, trade secrets, and proprietary product plans from being submitted to public AI tools. The platform blocks unauthorized AI coding assistants like GitHub Copilot and Cursor that have broad file system access, protecting confidential information and preserving trade secret protections under applicable law.

Incident Response Preparation

Organizations implement ShadowLock to eliminate blind spots in their incident response capabilities. Without prior visibility into AI tool usage, security teams cannot answer which tool, which account, or what data was involved in an incident. ShadowLock provides complete audit trails of all AI interactions, enabling rapid triage, accurate notifications, and defensible incident response documentation that meets regulatory and contractual obligations.

Frequently Asked Questions

Does ShadowLock capture keystrokes or transmit sensitive content to external servers?

No. ShadowLock is private by design with no keystroke logging and zero content transmission to external servers. The platform analyzes data locally on the endpoint to classify risky pastes and file uploads, but it never transmits the actual content of what users type or paste. Only metadata about blocked actions and policy violations is sent to the dashboard for reporting purposes.

How does ShadowLock deploy across multiple client endpoints?

The Windows endpoint agent deploys silently through your existing RMM tools with no user interaction required. Once the agent is installed, the browser extension self-configures automatically on Chrome, Edge, Brave, and Firefox. This means MSPs and IT teams can roll out ShadowLock across hundreds or thousands of endpoints without manual intervention or dedicated security engineering resources.

What AI tools does ShadowLock detect and govern?

ShadowLock currently detects and governs over 100 AI tools, services, and desktop applications, and this list is continuously growing. Coverage includes public AI chatbots like ChatGPT, Claude, and Gemini, AI browser extensions, desktop AI apps like Claude Desktop and Ollama, AI coding assistants like GitHub Copilot and Cursor, meeting transcription tools like Otter.ai and Fireflies, and embedded AI features in SaaS applications detected through the M365 scanner.

Can ShadowLock differentiate between approved and unapproved AI tool usage?

Yes. The platform allows administrators to create granular policies that specify which AI tools are approved for use and which are blocked. The browser enforcement layer applies these policies in real-time, showing users clear messages explaining why an action was blocked. The multi-tenant dashboard provides audit-ready reports that show exactly which policies were triggered, by which user, on which endpoint, and at what time.

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