ShadowLock

ShadowLock is a comprehensive shadow AI detection and governance platform specifically designed for Managed Service Providers (MSPs) and internal IT teams who need real-time visibility and control over employee use of artificial intelligence tools. As organizations rapidly adopt AI, employees are increasingly using unapproved AI applications, browser extensions, and local large language models (LLMs) to process sensitive data, creating significant legal, compliance, and liability exposure. ShadowLock addresses this critical blind spot by providing three integrated layers of coverage: a Windows endpoint agent that deploys silently via existing RMM tools, a browser enforcement layer that intercepts and classifies risky data pastes to AI sites, and a Microsoft 365 scanner for detecting AI app usage. The platform covers over 100 AI tools, services, and desktop applications including ChatGPT, Claude, Gemini, Ollama, and LM Studio. Built specifically for multi-tenant management, ShadowLock allows MSPs to govern AI usage across every client from a single unified dashboard, with audit-ready reporting for compliance purposes. The platform is private by design, featuring no keystroke logging and zero transmission of actual content, ensuring employee privacy while maintaining security oversight.

Multi-Layered Detection and Enforcement

ShadowLock provides three integrated coverage layers that address the full surface area of AI usage. The endpoint agent deploys silently to Windows machines via existing RMM tools, monitoring AI activity and scanning for browser extensions and local AI applications. The browser enforcement layer intercepts pastes, file uploads, and sensitive data typed directly into prompts, applying organizational policies with clear user-facing messages. The Microsoft 365 scanner connects to each customer tenant to detect AI app usage within the productivity suite.

Comprehensive AI Tool Coverage

The platform detects and governs over 100 AI tools, services, and desktop applications, covering public AI chatbots like ChatGPT, Claude, and Gemini accessed via personal accounts, AI browser extensions that read content across every website visited, embedded SaaS AI features like Copilot, desktop AI apps including Ollama and LM Studio, AI coding assistants such as GitHub Copilot and Cursor, and meeting transcription tools like Otter.ai and Fireflies.

Silent Deployment and RMM Integration

ShadowLock deploys silently to Windows endpoints through existing RMM tools without requiring user interaction or dedicated security engineering resources. Once installed, the agent self-configures the browser enforcement layer, locks down AI features built into Chrome, Edge, Brave, and Firefox, and begins monitoring for unauthorized AI tool usage. This frictionless deployment model minimizes disruption to end users while establishing immediate governance capabilities.

Multi-Tenant Dashboard with Audit-Ready Reports

The centralized multi-tenant dashboard provides MSPs and IT teams with a single pane of glass to view, audit, and control AI tool usage across every client organization. Each control can be individually configured to block or allow specific AI tools, with all actions logged for compliance purposes. The platform generates audit-ready reports that document which tools were used, what data was potentially exposed, and what enforcement actions were taken.

Healthcare HIPAA Compliance Enforcement

Healthcare organizations face significant regulatory exposure when employees paste patient data into public AI tools without a Business Associate Agreement in place. ShadowLock detects and blocks the submission of protected health information to unapproved AI platforms, preventing HIPAA violations before they occur. The platform provides audit trails demonstrating compliance efforts and identifies which employees are accessing AI tools with patient data, enabling targeted training and policy enforcement.

MSP Client Risk Management

Managed Service Providers face liability when client organizations experience AI-related data incidents and the MSP had endpoint management scope. ShadowLock enables MSPs to proactively govern AI usage across all client environments from a single dashboard, demonstrating due diligence and reducing the gap between client expectations and service delivery. The platform provides clear visibility into which AI tools each client is using, enabling risk-based conversations and policy adjustments.

Corporate IP and Trade Secret Protection

Organizations with proprietary source code, confidential contracts, and product plans face significant intellectual property risk when employees submit this information to public AI tools. ShadowLock intercepts and blocks the transmission of sensitive data to AI platforms, preserving trade secret protections and preventing intellectual property leakage. The platform provides detailed reporting on attempted data submissions, enabling security teams to identify high-risk users and implement additional training.

Incident Response and Forensic Investigation

When an organization discovers potential AI-related data exposure, ShadowLock provides the forensic visibility needed to determine which tools were used, what accounts were involved, and what data was submitted. This information is critical for incident triage, regulatory notification, and legal defensibility. Without prior visibility, organizations cannot answer these fundamental questions, breaking the entire incident response chain.

What types of AI tools does ShadowLock detect and govern?

ShadowLock covers over 100 AI tools, services, and desktop applications across multiple categories. This includes 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 applications including Ollama and LM Studio, AI coding assistants such as 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.

How does ShadowLock deploy and what are the system requirements?

ShadowLock deploys silently to Windows endpoints through existing RMM tools without requiring user interaction. The endpoint agent self-configures the browser enforcement layer once installed and locks down AI features built into Chrome, Edge, Brave, and Firefox. There is no need for dedicated security engineering resources or complex enterprise-level deployment procedures. The platform works with standard Windows environments and integrates with common RMM platforms used by MSPs.

Does ShadowLock compromise employee privacy?

No, ShadowLock is private by design. The platform performs no keystroke logging and transmits zero content from employee interactions. The browser enforcement layer intercepts and classifies risky data pastes to AI sites based on data patterns and sensitivity rules, but the actual content is not transmitted or stored. This approach provides security oversight while respecting employee privacy and maintaining compliance with data protection regulations.

Can ShadowLock be used across multiple client organizations?

Yes, ShadowLock is specifically built for MSPs and IT teams managing multiple organizations. The multi-tenant dashboard provides a single pane of glass to view, audit, and control AI tool usage across every client from one place. Each client environment can have its own policies and controls, and all actions are logged with audit-ready reports. This centralized management capability is essential for MSPs governing AI across diverse client environments with different compliance requirements.