ShadowLock

ShadowLock is a collaborative shadow AI detection and governance platform designed specifically for MSPs and IT teams who need to work together to secure their organizations. It provides real-time visibility and control over how employees use AI tools, acting before sensitive data ever leaves the endpoint. Unlike traditional managed-device controls, ShadowLock covers the critical blind spots that other solutions miss: browser extensions, desktop AI applications, local large language models like Ollama and LM Studio, and AI usage through personal accounts. The platform operates through three synergistic layers: a browser extension that intercepts and classifies risky pastes to AI sites, a Windows agent that blocks desktop AI apps and deploys silently through your existing RMM tools, and a multi-tenant dashboard that lets your team audit or block each control with audit-ready reports. Built for MSPs to govern AI across every client from a single, unified interface, ShadowLock is private by design with no keystroke logging and zero content transmission to external servers. This means your team can confidently address the growing risk of shadow AI without compromising user privacy or creating additional compliance burdens. By working together with ShadowLock, MSPs and IT teams can finally close the gap between endpoint security and the rapidly expanding AI tool landscape, ensuring that collaboration between employees and approved AI tools happens safely and transparently.

Multi-Layered AI Detection and Governance

ShadowLock operates through three complementary layers that work together seamlessly to provide complete coverage of the AI surface. The endpoint agent deploys silently to Windows endpoints via your existing RMM, monitoring AI activity, scanning browser extensions, detecting local AI applications, and locking down the AI built into Chrome, Edge, Brave, and Firefox with zero user interaction required. The browser enforcement layer self-configures once the agent is installed, intercepting pastes, file uploads, and sensitive data typed directly into prompts while enforcing data-sharing opt-outs on each AI tool and applying your policies with clear user-facing messages. The Microsoft 365 AI app detection scanner connects to each customer tenant to identify embedded AI features activated without security review. This cooperative approach ensures no blind spots remain, whether employees are using public AI chatbots, desktop apps, or AI features inside approved SaaS platforms.

Real-Time Sensitive Data Interception

The browser extension component of ShadowLock actively intercepts and classifies risky data being pasted into AI tools before it ever reaches the third-party service. When an employee attempts to submit customer records, credentials, confidential documents, or protected health information to an unapproved AI tool, the extension immediately flags the action and applies your organization's policies. This could mean blocking the paste entirely, warning the user about the risk, or allowing it with an audit trail. The system works across all major AI platforms including ChatGPT, Claude, Gemini, and dozens of others, regardless of whether employees are using personal or enterprise accounts. By collaborating with users in real-time, ShadowLock helps educate employees about appropriate AI use while preventing data leaks before they happen.

Silent RMM-Based Deployment and Management

ShadowLock is designed to integrate smoothly into your existing IT workflows through silent deployment via your current RMM tools. The Windows agent deploys without any user interaction, requiring no dedicated security engineering or complex configuration processes. Once deployed, the agent automatically manages the browser extension installation and configuration, ensuring consistent policy enforcement across all managed endpoints. The multi-tenant dashboard gives MSPs and IT teams a unified view of AI activity across every client organization, enabling cooperative governance from a single pane of glass. This approach minimizes disruption to your team's existing processes while maximizing the security benefits of comprehensive AI visibility and control.

Audit-Ready Reporting and Compliance Documentation

Every action detected and controlled by ShadowLock generates detailed, audit-ready reports that help your organization demonstrate compliance with regulatory frameworks like HIPAA, GDPR, CCPA, and other privacy standards. The platform tracks which AI tools were accessed, what types of data were involved, which users were affected, and what actions were taken. This documentation is crucial for incident response, as it provides the defensibility needed to answer questions about which tool, which account, and what data was involved in any potential breach. For MSPs, these reports provide the documentation needed to demonstrate due diligence to clients and insurers, closing the liability gap that exists when organizations have endpoint scope but no AI governance in place.

Healthcare HIPAA Compliance and ePHI Protection

Healthcare organizations face significant regulatory exposure when employees paste protected health information into public AI tools without a Business Associate Agreement in place. ShadowLock enables MSPs and IT teams to work collaboratively with healthcare clients to detect and block the submission of ePHI to unapproved AI platforms. The platform intercepts patient data, medical records, and clinical information before it reaches ChatGPT, Claude, or similar tools, preventing HIPAA violations without requiring a breach to occur. This proactive approach allows healthcare organizations to safely leverage AI for administrative tasks while maintaining full compliance with regulatory requirements.

MSP Multi-Client AI Governance

Managed Service Providers face unique challenges in governing AI use across diverse client organizations with varying security requirements and compliance obligations. ShadowLock provides a unified multi-tenant dashboard that allows MSPs to audit and control AI usage across every client from a single interface. The platform deploys silently through existing RMM tools, minimizing disruption to client operations while maximizing security coverage. MSPs can apply different policies for different clients based on their specific industry regulations, risk tolerance, and approved tool lists. This cooperative approach enables MSPs to demonstrate comprehensive AI governance to clients and insurers, reducing liability exposure while adding significant value to their service offerings.

Enterprise IP and Trade Secret Protection

Organizations with valuable intellectual property face substantial risk when employees submit source code, product plans, contracts, and other confidential information to public AI tools. ShadowLock helps enterprise IT teams collaborate with legal and compliance departments to establish and enforce policies that protect trade secrets and proprietary information. The platform detects when employees attempt to submit sensitive business data to AI coding assistants like GitHub Copilot and Cursor, public chatbots, or desktop AI applications. By blocking these submissions or providing clear warnings, ShadowLock helps organizations maintain the confidentiality protections that are essential for preserving trade secret status and avoiding contractual exposure.

Financial Services Regulatory Compliance

Financial institutions must comply with strict regulations regarding the handling of customer data, transaction information, and proprietary financial models. ShadowLock enables IT teams in banking, insurance, and investment firms to work with compliance officers to ensure that AI tool usage does not create regulatory exposure. The platform detects and controls the submission of customer PII, financial account numbers, transaction records, and other sensitive data to unapproved AI tools. This collaborative approach helps financial organizations safely adopt AI productivity tools while maintaining compliance with GDPR, CCPA, and industry-specific regulations. The audit-ready reports provide the documentation needed for regulatory examinations and internal compliance reviews.

How does ShadowLock protect user privacy while monitoring AI usage?

ShadowLock is private by design, with no keystroke logging and zero content transmission to external servers. The platform intercepts and classifies data at the endpoint level, applying policies locally before any information reaches a third-party AI service. The browser extension analyzes content being pasted or uploaded to AI tools, but this analysis happens on the device itself. Only metadata about policy violations and approved usage is sent to the dashboard for reporting purposes. This approach ensures that organizations can govern AI usage effectively without compromising employee privacy or creating additional data security risks.

Can ShadowLock detect AI usage through personal accounts and browser extensions?

Yes, ShadowLock specifically addresses the blind spots that traditional managed-device controls miss, including AI usage through personal accounts and browser extensions. The browser enforcement layer intercepts activity on all AI platforms regardless of whether the user is logged into an enterprise or personal account. The endpoint agent scans for installed AI browser extensions, desktop AI applications like Claude Desktop and ChatGPT app, and local LLMs like Ollama and LM Studio. This comprehensive coverage ensures that employees cannot bypass governance controls simply by using personal accounts or non-browser-based AI tools.

How does ShadowLock integrate with existing RMM tools for MSPs?

ShadowLock is designed for seamless integration with your existing RMM tools through silent deployment of the Windows agent. The agent deploys to endpoints without requiring any user interaction or dedicated security engineering resources. Once installed, the agent automatically manages the browser extension installation and configuration, ensuring consistent policy enforcement across all managed devices. The multi-tenant dashboard provides a unified view of AI activity across all client organizations, allowing MSPs to govern AI usage from a single interface. This integration minimizes disruption to existing workflows while maximizing the security benefits of comprehensive AI visibility and control.

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

ShadowLock detects and governs over 100 AI tools, services, and desktop applications, with the list growing continuously. This includes public AI chatbots like ChatGPT, Claude, and Gemini, AI browser extensions that read content across websites, desktop AI apps including Claude Desktop, ChatGPT app, Ollama, and LM Studio, AI coding assistants like GitHub Copilot and Cursor, meeting and transcription AI tools like Otter.ai and Fireflies, and embedded AI features inside approved SaaS applications. The platform also monitors AI features built into browsers like Chrome, Edge, Brave, and Firefox, ensuring no blind spots remain in your organization's AI governance strategy.