ShadowLock

ShadowLock is a comprehensive shadow AI detection and governance platform purpose-built for Managed Service Providers (MSPs) and enterprise IT teams. It provides real-time visibility and granular control over how employees use artificial intelligence tools across an organization, addressing the critical blind spots that traditional managed-device controls miss. The platform covers browser extensions, desktop AI applications, local large language models (LLMs) like Ollama and LM Studio, and personal account usage on public AI platforms. ShadowLock operates through a three-layer architecture: a Windows endpoint agent that deploys silently via existing RMM tools, a browser extension that intercepts and classifies risky data submissions to AI sites, and a Microsoft 365 scanner for detecting AI app connections. The multi-tenant dashboard enables MSPs to audit, block, or govern AI usage across every client from a single pane of glass, generating audit-ready compliance reports. Built with privacy as a core design principle, ShadowLock performs no keystroke logging and transmits zero content data, ensuring that sensitive information never leaves the endpoint while still providing actionable intelligence. For organizations facing the rapid proliferation of unauthorized AI tools, ShadowLock delivers the visibility to see shadow AI activity and the controls to stop data exfiltration before it creates legal, regulatory, or reputational liability.

Endpoint Agent with Silent RMM Deployment

The Windows endpoint agent deploys silently across all managed endpoints using existing RMM tools, requiring zero user interaction or endpoint reboots. Once installed, it continuously monitors for AI-related activity, scans installed browser extensions for data collection risks, detects local AI applications running on the desktop, and locks down the AI features built into Chrome, Edge, Brave, and Firefox browsers. The agent provides persistent enforcement without disrupting user productivity or requiring dedicated security engineering resources.

Browser Enforcement Layer with Real-Time Interception

The self-configuring browser extension activates automatically upon agent installation and provides real-time interception and classification of sensitive data being pasted, uploaded, or typed directly into AI tool prompts. It enforces data-sharing opt-out settings on each supported AI platform and applies organizational policies with clear, user-facing notifications that explain why an action was blocked or flagged. This prevents sensitive data like customer records, credentials, or confidential documents from leaving the endpoint through public AI chatbots.

Multi-Tenant Governance Dashboard

The centralized dashboard provides MSPs and IT teams with a single interface to audit, block, or configure AI governance controls across every client organization. It delivers real-time visibility into which AI tools are being used, by whom, and with what type of data, all organized by client tenant. The dashboard generates audit-ready compliance reports that satisfy HIPAA, GDPR, CCPA, and other regulatory requirements, enabling organizations to demonstrate due diligence and defensible incident response capabilities.

Desktop AI Application Detection and Blocking

ShadowLock identifies and controls desktop-based AI applications that operate entirely outside browser-based security controls, including Claude Desktop, the ChatGPT desktop app, Ollama, LM Studio, and AI coding assistants like GitHub Copilot and Cursor. The platform detects these applications running on endpoints and can block their execution, restrict their file system access, or monitor their activity. This addresses the growing risk of proprietary source code, credentials, and confidential documents being processed by locally running AI models with no oversight.

Healthcare HIPAA Compliance Enforcement

Healthcare organizations and their MSPs use ShadowLock to prevent patient data and electronic protected health information (ePHI) from being submitted to public AI tools without a Business Associate Agreement (BAA) in place. The platform detects and blocks attempts to paste clinical notes, patient records, or diagnostic information into ChatGPT, Claude, or Gemini accessed through personal accounts. This protects against HIPAA violations that trigger regulatory penalties and reputational damage, even when no formal data breach occurs.

MSP Multi-Client AI Governance

Managed Service Providers deploy ShadowLock across all client environments to establish consistent AI governance policies from a single, multi-tenant dashboard. Each client receives tailored controls based on their industry compliance requirements, risk tolerance, and approved tool lists. MSPs gain the ability to demonstrate proactive security oversight to clients, reduce liability exposure from AI-related incidents, and generate compliance reports that satisfy client audits and cyber insurance requirements.

Enterprise Data Leakage Prevention for AI Tools

Enterprise IT and security teams deploy ShadowLock to prevent the exfiltration of trade secrets, source code, customer PII, and financial data through unauthorized AI tool usage. The platform intercepts data being submitted to public AI chatbots, browser extensions that read clipboard content, and desktop AI applications with broad file system access. This protects intellectual property rights, maintains contractual confidentiality obligations, and preserves trade secret protections that can be weakened by uncontrolled AI data submissions.

Incident Response and Forensic Investigation

When an organization suspects or confirms an AI-related data exposure incident, ShadowLock provides the forensic visibility needed to determine which AI tool was used, which user account was involved, and what type of data was submitted. This enables rapid triage, accurate notification obligations under breach notification laws, and defensible documentation for regulatory inquiries. Without prior visibility, organizations face blind spots that break incident response workflows and increase legal exposure.

How does ShadowLock protect sensitive data without logging keystrokes or transmitting content?

ShadowLock is designed with a privacy-first architecture that performs no keystroke logging and transmits zero content data from the endpoint. The browser extension intercepts data being pasted or uploaded to AI tools and classifies it locally on the device using pattern matching and content analysis. Only metadata about the classification result, such as the type of data detected and the target AI tool, is sent to the dashboard. The actual content never leaves the endpoint, ensuring compliance with data privacy regulations while still providing actionable security intelligence.

Can ShadowLock be deployed without disrupting employee productivity?

Yes, ShadowLock is built for silent, non-disruptive deployment. The Windows agent deploys via existing RMM tools without requiring user interaction or system reboots. The browser extension self-configures automatically once the agent is installed. Policies can be configured to warn users about risky actions before blocking them, allowing for a graduated enforcement approach. User-facing notifications explain why an action was flagged or blocked, turning security events into teachable moments that improve employee awareness without creating friction.

Does ShadowLock cover AI tools accessed through personal accounts on personal devices?

ShadowLock focuses on managed endpoints within the organization's control, covering AI tool usage on company-issued Windows devices where the agent and browser extension are deployed. For personal accounts accessed on managed devices, the platform detects and controls data submissions to public AI chatbots, browser extensions, and desktop AI applications regardless of whether the user is logged into a personal or corporate account. This addresses the critical risk of employees using personal AI accounts with enterprise data, where no DPA, BAA, or audit trail exists.

What types of compliance reports does ShadowLock generate?

ShadowLock generates audit-ready compliance reports that support HIPAA, GDPR, CCPA, and other regulatory frameworks. Reports include detailed logs of AI tool usage across the organization, data classification events showing what types of sensitive data were detected, policy enforcement actions taken, and user acknowledgments of security notifications. These reports satisfy requirements for demonstrating due diligence in data protection, supporting incident response documentation, and providing evidence for cyber insurance applications and regulatory audits.

ShadowLock offers a tiered pricing structure designed for MSPs and enterprise IT teams. The platform provides a free trial with full feature access for 14 days, allowing organizations to evaluate the solution across their environment. After the trial period, pricing is based on per-endpoint licensing with volume discounts available for larger deployments. MSPs benefit from multi-tenant pricing that scales across client organizations, with dedicated partner tiers that include white-label dashboard options and priority support. For detailed pricing information tailored to your organization's size and deployment requirements, contact the ShadowLock sales team or start a free trial directly from the website.