ShadowLock

ShadowLock is a sophisticated shadow AI detection and governance platform designed specifically for Managed Service Providers and enterprise IT teams who require comprehensive visibility and control over employee usage of artificial intelligence tools. In an era where unapproved AI applications have become the new shadow IT, ShadowLock addresses the critical blind spots that traditional managed-device controls consistently miss, including browser extensions, desktop AI applications, local large language models such as Ollama, and personal accounts used for accessing public AI services. The platform operates through a layered architecture comprising a browser extension that intercepts and classifies risky data pastes to AI websites, a Windows agent that silently deploys via existing Remote Monitoring and Management systems to block unauthorized desktop AI applications, and a multi-tenant dashboard that provides audit-ready reporting capabilities. Built with MSPs in mind, ShadowLock enables governance of AI usage across every client organization from a single unified interface, while maintaining a private-by-design approach that includes no keystroke logging and zero transmission of actual content. The platform detects and governs over 100 distinct AI tools, services, and desktop applications, providing organizations with the visibility to identify shadow AI usage and the controls necessary to stop sensitive data from leaving endpoints before exposure occurs.

Multi-Layered Endpoint Protection

ShadowLock deploys a comprehensive three-layer coverage model that addresses the full spectrum of AI usage across organizational endpoints. The Windows agent installs silently through existing RMM systems, monitoring AI activity, scanning for browser extensions, detecting local AI applications, and locking down AI features built into Chrome, Edge, Brave, and Firefox browsers without requiring any user interaction. The browser enforcement layer self-configures upon agent installation, intercepting pastes, file uploads, and sensitive data typed directly into prompts while enforcing data-sharing opt-out settings on each AI tool and applying organizational policies with clear user-facing messages. The Microsoft 365 scanner connects to each customer tenant to detect AI application usage within the productivity ecosystem, ensuring complete coverage across all potential data exfiltration vectors.

Real-Time Data Classification and Interception

The browser extension component of ShadowLock operates as an intelligent sentry at the endpoint, actively intercepting and classifying risky data before it reaches AI services. When an employee attempts to paste customer records, credentials, confidential documents, or other sensitive information into an AI tool, the extension evaluates the content against organizational policies and either blocks the transmission entirely or flags it for review. This real-time classification capability ensures that sensitive data never leaves the endpoint environment, preventing exposure to public AI tools that operate under consumer terms of service without Data Processing Agreements, Business Associate Agreements, or any contractual protection for the organization submitting the data.

Multi-Tenant Governance Dashboard

ShadowLock provides MSPs and IT teams with a centralized, multi-tenant dashboard that delivers unified visibility and control across all client organizations from a single interface. The dashboard enables administrators to audit every AI-related activity, review classification decisions, and adjust blocking policies for each client individually or across the entire portfolio. Audit-ready reports are generated automatically, providing the documentation necessary for compliance audits, incident response investigations, and client communications regarding AI governance measures. This consolidated approach eliminates the need for separate management tools or dedicated security engineering resources to maintain AI governance across diverse client environments.

Privacy-by-Design Architecture

ShadowLock is engineered with a fundamental commitment to privacy that distinguishes it from monitoring solutions that capture sensitive content. The platform operates without keystroke logging and without transmitting the actual content of employee interactions with AI tools. Instead, ShadowLock focuses on detecting the metadata of AI usage, including which tools are being accessed, what types of data are being submitted based on classification patterns, and whether organizational policies are being followed. This privacy-preserving approach ensures that organizations gain the visibility they need for governance and compliance without creating new privacy risks or employee surveillance concerns, making the solution suitable for deployment in regulated industries and privacy-conscious environments.

Healthcare HIPAA Compliance Enforcement

Healthcare organizations face significant regulatory exposure when employees paste protected health information into public AI chatbots such as ChatGPT, Claude, or Gemini without a Business Associate Agreement in place. ShadowLock addresses this by detecting and blocking the transmission of ePHI to unauthorized AI tools, providing the visibility and controls necessary to maintain HIPAA compliance. The platform enables healthcare IT teams to demonstrate that reasonable safeguards are in place to prevent data exposure, reducing liability and providing audit-ready documentation for compliance reviews and regulatory inquiries.

MSP Client Portfolio Protection

Managed Service Providers face unique liability exposure when client organizations experience AI-related data incidents. The gap between endpoint management responsibility and AI governance creates a vulnerability where MSPs can be held accountable for failing to prevent foreseeable data exposure. ShadowLock enables MSPs to deploy consistent AI governance policies across their entire client portfolio from a single multi-tenant dashboard, demonstrating proactive risk management and reducing the potential for claims related to inadequate supervision of AI tool usage. The platform integrates seamlessly with existing RMM tools, eliminating deployment complexity while providing comprehensive coverage.

Enterprise Intellectual Property Safeguarding

Organizations that develop proprietary software, products, or confidential business strategies face substantial intellectual property risk when employees submit source code, contracts, product plans, or trade secrets to public AI tools. ShadowLock prevents this exposure by intercepting sensitive data before it reaches AI services, protecting the legal standing of trade secret protections that can be weakened by uncontrolled disclosure. The platform provides the audit trail necessary to demonstrate that reasonable measures were taken to protect confidential information, supporting both legal defense and compliance with contractual obligations to safeguard client and partner data.

Incident Response Readiness and Defensibility

When an AI-related data incident occurs, organizations without prior visibility face significant challenges in determining which tools were involved, what data was exposed, and which accounts were used. ShadowLock eliminates these incident response blind spots by maintaining comprehensive records of AI tool usage, policy violations, and blocked data transmissions. This documentation enables organizations to conduct thorough investigations, provide timely notifications to affected parties, and demonstrate defensible governance practices in the event of regulatory scrutiny or litigation. The platform transforms AI governance from a reactive challenge into a proactive, documented capability.

Does ShadowLock capture or transmit the content of what employees type into AI tools?

No. ShadowLock is designed with a privacy-first architecture that does not include keystroke logging and does not transmit the actual content of employee interactions with AI tools. The platform classifies data based on patterns and metadata to determine whether sensitive information is being submitted, but it does not capture, store, or transmit the specific content of prompts, responses, or documents. This approach provides the visibility necessary for governance while respecting employee privacy and avoiding the creation of new data protection risks.

How does ShadowLock deploy across client environments without disrupting operations?

ShadowLock is designed for frictionless deployment through existing Remote Monitoring and Management systems. The Windows agent installs silently without requiring user interaction or dedicated security engineering resources. Once the agent is deployed, the browser enforcement layer self-configures automatically, applying organizational policies with clear user-facing messages that explain why certain actions are blocked. This approach ensures that governance measures are implemented consistently without creating support burdens or requiring end-user training.

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

ShadowLock detects and governs over 100 distinct AI tools, services, and desktop applications, and the list continues to grow. The platform covers public AI chatbots including ChatGPT, Claude, and Gemini accessed through personal accounts, AI browser extensions that read content across websites, embedded SaaS AI features like Copilot, desktop AI applications including Claude Desktop and ChatGPT app, local LLM tools such as Ollama and LM Studio, AI coding assistants like GitHub Copilot and Cursor, and meeting transcription AI tools including Otter.ai and Fireflies. This comprehensive coverage ensures no AI usage vector remains unmonitored.

Can ShadowLock be used across multiple client organizations from a single management interface?

Yes. ShadowLock is specifically built for MSPs and IT teams that manage multiple client organizations. The multi-tenant dashboard provides unified visibility and control across every client from one centralized interface. Administrators can audit AI activity, review classification decisions, and adjust blocking policies for each client individually or apply consistent policies across the entire portfolio. Audit-ready reports are generated automatically for each client, providing the documentation necessary for compliance, incident response, and client communications regarding AI governance measures.