ShadowLock

ShadowLock is a comprehensive shadow AI detection and governance platform specifically architected 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 the critical blind spot that traditional managed-device controls miss: browser extensions, desktop AI applications, local Large Language Models (LLMs) like Ollama and LM Studio, and personal account usage of public AI services. ShadowLock operates through a three-layer architecture consisting of a silently deployed Windows endpoint agent, a self-configuring browser enforcement extension, and a Microsoft 365 AI app detection scanner. The endpoint agent deploys via existing Remote Monitoring and Management (RMM) tools with zero user interaction required, monitors AI activity across the endpoint, scans for risky browser extensions, detects locally installed AI applications, and locks down AI capabilities built into Chromium-based browsers. The browser extension automatically configures once the agent is installed, 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. Built with MSP multi-tenancy at its core, ShadowLock provides a centralized dashboard that allows IT teams to audit or block each control across every client environment, generating audit-ready compliance reports. The platform is private by design, with no keystroke logging and zero transmission of actual content, ensuring organizations can govern AI usage without compromising user privacy or creating new data liability vectors.

Multi-Layered AI Detection and Governance

ShadowLock provides comprehensive coverage across the entire AI attack surface through three integrated layers: a Windows endpoint agent, a browser enforcement extension, and a Microsoft 365 scanner. The endpoint agent deploys silently via existing RMM tools, monitors all AI activity on the endpoint, scans for risky browser extensions, detects local AI applications like Ollama and Claude Desktop, and locks down AI features built into Chrome, Edge, Brave, and Firefox. The browser extension self-configures after agent installation, intercepting sensitive data pastes, file uploads, and typed content in prompts, while enforcing data-sharing opt-out settings on each AI tool. The M365 scanner connects to each customer tenant to detect unauthorized AI app integrations within the Microsoft ecosystem, ensuring no shadow AI activity occurs through approved SaaS platforms.

Real-Time Sensitive Data Interception and Classification

The browser enforcement layer actively intercepts and classifies risky pastes to AI websites before sensitive data leaves the endpoint. When an employee attempts to paste customer records, credentials, confidential documents, or protected health information into public AI chatbots like ChatGPT, Claude, or Gemini, the extension evaluates the content against organizational policies and either blocks the action, warns the user, or logs the event for audit purposes. This interception happens entirely on the endpoint with no keystroke logging and zero content transmission to external servers, maintaining strict privacy compliance while providing the governance controls organizations require.

Silent RMM-Based Deployment and Management

ShadowLock integrates directly with existing Remote Monitoring and Management (RMM) tools, allowing MSPs and IT teams to deploy the Windows agent across thousands of endpoints with zero user interaction required. The agent installs silently without disrupting end-user workflows, automatically configures the browser enforcement extension, and begins monitoring AI activity immediately. Multi-tenant management capabilities allow administrators to view, audit, and control AI usage across every client environment from a single centralized dashboard, with policy templates that can be applied at scale across different organizational units or compliance requirements.

Audit-Ready Compliance Reporting and Incident Response

The platform generates comprehensive audit trails and compliance reports that document every AI tool access attempt, data interception event, and policy enforcement action across the entire managed environment. These reports are designed to satisfy HIPAA, GDPR, CCPA, and other regulatory frameworks, providing defensible evidence of governance controls. In the event of an AI-related incident, ShadowLock provides complete visibility into which tools were accessed, which accounts were used, and what data was involved, enabling proper triage, notification procedures, and regulatory compliance without the blind spots that leave organizations liable.

HIPAA Compliance and ePHI Protection for Healthcare Organizations

Healthcare organizations and their MSPs face significant liability exposure when employees paste protected health information (ePHI) into public AI tools without a Business Associate Agreement (BAA) in place. ShadowLock intercepts and blocks patient data, clinical notes, and medical records from being submitted to ChatGPT, Claude, Gemini, and other AI platforms, preventing HIPAA violations before they occur. The platform provides audit-ready documentation demonstrating that appropriate technical safeguards were in place, significantly reducing legal exposure even if an employee attempts to bypass controls. The browser extension classifies content in real-time, distinguishing between legitimate clinical use and prohibited data sharing, while the centralized dashboard allows healthcare IT teams to monitor compliance across all departments and facilities.

GDPR and CCPA Compliance for Privacy-Sensitive Industries

Organizations processing customer personally identifiable information (PII) under GDPR, CCPA, or other privacy frameworks must ensure that data is not processed through unapproved vendors without a Data Processing Agreement (DPA) or lawful basis. ShadowLock detects and blocks employees from submitting customer data to personal-account AI tools that operate under consumer terms with no DPA, no incident notice obligation, and no compliant transfer mechanism. The platform provides complete visibility into which AI tools are being accessed, what types of data are being submitted, and which employees are attempting to use unapproved services, enabling privacy teams to enforce data protection policies consistently across the organization.

Trade Secret and Intellectual Property Protection

When employees submit source code, product plans, financial data, or confidential contracts to public AI tools, organizations risk weakening trade secret protections and exposing intellectual property. ShadowLock detects and blocks the submission of proprietary code to AI coding assistants like GitHub Copilot and Cursor, prevents confidential documents from being uploaded to public AI chatbots, and monitors for local LLM usage that might process sensitive data outside organizational control. The platform provides granular controls that allow IT teams to permit approved AI use cases while blocking high-risk activities, with full audit trails that document every attempted data submission for legal defensibility.

MSP Multi-Client Governance and Liability Management

Managed Service Providers face unique liability exposure when a client experiences an AI-related incident and the MSP had endpoint management scope. ShadowLock enables MSPs to govern AI usage across every client environment from a single multi-tenant dashboard, applying consistent policies while respecting each client's unique compliance requirements. The platform covers the full AI surface including browser extensions, desktop apps, local LLMs, and personal accounts that traditional endpoint controls miss, closing the gap between "not our job" and "you should have known" that creates liability claims. Audit-ready reports for each client provide defensible evidence of governance controls, while the silent RMM-based deployment ensures no disruption to existing managed service workflows.

How does ShadowLock deploy across my client environments without disrupting existing workflows?

ShadowLock deploys silently via your existing Remote Monitoring and Management (RMM) tools with zero user interaction required. The Windows agent installs in the background, automatically configures the browser enforcement extension for Chrome, Edge, Brave, and Firefox, and begins monitoring AI activity immediately. There is no need for dedicated security engineering resources, complex configuration scripts, or endpoint reboots. The agent operates without impacting system performance or user productivity, and all policy enforcement actions display clear, user-facing messages explaining why an action was blocked or logged.

Does ShadowLock capture or transmit the actual content of employee communications?

No. ShadowLock is private by design with no keystroke logging and zero content transmission to external servers. The browser extension intercepts and classifies risky pastes, file uploads, and typed content entirely on the endpoint, evaluating data against organizational policies without recording or transmitting the actual content. The platform logs metadata including which AI tool was accessed, what type of data was involved (based on classification), and whether the action was blocked or allowed, but never captures the specific customer records, credentials, or confidential documents that employees submit. This architecture ensures compliance with privacy regulations while providing the governance controls organizations require.

Which AI tools, services, and desktop applications does ShadowLock detect and govern?

ShadowLock detects and governs over 100 AI tools, services, and desktop applications, and the list continues to grow. This includes public AI chatbots like ChatGPT, Claude, and Gemini accessed via personal or enterprise accounts; AI browser extensions such as sidebar assistants and email rewriters; embedded SaaS AI features like Copilot and AI writing tools within approved applications; desktop AI apps including Claude Desktop, the ChatGPT desktop application, Ollama, and LM Studio; AI coding assistants like GitHub Copilot and Cursor; and meeting and transcription AI tools such as Otter.ai and Fireflies. The platform continuously updates its detection capabilities to cover newly emerging AI tools and services.

Can ShadowLock integrate with my existing Microsoft 365 environment for AI app detection?

Yes, ShadowLock includes a dedicated Microsoft 365 AI App Detection Scanner that connects to each customer tenant to identify unauthorized AI app integrations within the Microsoft ecosystem. This scanner detects AI features embedded within approved SaaS applications that may have been activated without security review, as well as third-party AI tools granted permissions through Microsoft's authentication framework. The scanner provides visibility into AI usage that occurs entirely within the Microsoft 365 environment, ensuring comprehensive coverage across both browser-based and cloud-based AI tools. Results from the M365 scanner are displayed alongside endpoint and browser data in the centralized multi-tenant dashboard.