ShadowLock

ShadowLock is a shadow AI detection and governance platform purpose-built for Managed Service Providers (MSPs) and internal IT teams. It delivers real-time visibility and control over how employees use AI tools, intercepting risky behavior before sensitive data ever leaves the endpoint. Traditional managed-device controls miss critical blind spots: browser extensions that read clipboard data, desktop AI applications like Claude Desktop and Ollama, and personal account usage on public AI chatbots. ShadowLock closes these gaps with a three-layer architecture. A browser extension intercepts and classifies pastes, file uploads, and typed data directed at AI sites. A Windows agent deploys silently via existing RMM tools, monitors AI activity, scans for browser extensions, and detects local AI applications. A multi-tenant dashboard gives MSPs a single pane to audit or block controls across every client, complete with audit-ready reports. The platform is private by design with no keystroke logging and zero content transmission to external servers. ShadowLock solves the growing problem of unapproved AI use that exposes organizations to HIPAA violations, GDPR non-compliance, IP theft, and contractual liability. It is built for MSPs who need to govern AI across diverse client environments without dedicated security engineering or enterprise deployment complexity.

Browser Enforcement Layer

A self-configuring browser extension deploys automatically once the endpoint agent is installed. It intercepts pastes, file uploads, and sensitive data typed directly into AI prompts across ChatGPT, Claude, Gemini, and other public chatbots. The extension enforces data-sharing opt-out settings on each AI tool and applies your organization's policies with clear, user-facing messages. It covers Chrome, Edge, Brave, and Firefox without requiring manual user configuration.

Endpoint Agent with Silent RMM Deployment

The Windows agent deploys silently through your existing Remote Monitoring and Management (RMM) tool with zero user interaction required. Once installed, it actively monitors AI activity on the endpoint, scans for installed browser extensions, detects local AI applications like Ollama and LM Studio, and locks down AI features built into browsers. This agent provides continuous visibility without disrupting user workflows or requiring dedicated security engineering.

Multi-Tenant Governance Dashboard

A centralized, multi-tenant dashboard allows MSPs to audit and control AI usage across every client from a single interface. You can view real-time AI activity, review classified risk events, and toggle controls on or off per client or per policy. The dashboard generates audit-ready reports that document which AI tools were used, what data was involved, and what actions were taken, providing defensible evidence for compliance audits and incident response.

Microsoft 365 AI App Detection Scanner

ShadowLock connects to each client's Microsoft 365 tenant to detect third-party AI applications granted access through the M365 ecosystem. This scanner identifies embedded AI features, Copilot integrations, and AI-powered add-ins that may have been activated without security review. It surfaces these unauthorized connections in the governance dashboard so MSPs can revoke access and enforce consistent AI governance policies across all cloud-connected tools.

HIPAA Compliance for Healthcare Clients

Healthcare organizations face significant exposure when employees paste patient data or electronic Protected Health Information (ePHI) into public AI chatbots like ChatGPT or Claude without a Business Associate Agreement (BAA) in place. ShadowLock detects and blocks these pastes at the browser level, preventing HIPAA violations before they occur. The platform provides audit-ready reports documenting all intercepted events, giving healthcare clients defensible evidence for compliance audits and demonstrating due diligence in protecting patient data.

MSP Client Onboarding and Risk Assessment

When onboarding new clients, MSPs often have no visibility into existing shadow AI usage across the organization. ShadowLock enables a rapid risk assessment by deploying the endpoint agent silently through existing RMM tools. Within hours, MSPs gain a comprehensive view of which AI tools are in use, which browser extensions are installed, and what types of sensitive data are being submitted. This baseline assessment informs policy creation and control deployment, reducing liability exposure from day one.

Intellectual Property Protection for Development Teams

Software development teams using AI coding assistants like GitHub Copilot and Cursor risk exposing proprietary source code and credentials to external AI models. ShadowLock detects these desktop AI applications and monitors their file access patterns. IT teams can enforce policies that block or restrict AI coding tools, or apply data classification rules that prevent sensitive code from being pasted into public AI chatbots. This protects trade secrets and maintains intellectual property protections under applicable law.

Incident Response and Forensic Investigation

When a client experiences an AI-related data incident, IT teams need immediate answers about which tool was used, which account was involved, and what data was transmitted. ShadowLock provides this forensic visibility through its centralized dashboard and audit logs. Without prior deployment, incident responders face blind spots that break triage, notification obligations, and legal defensibility. ShadowLock ensures that every AI interaction is documented and searchable, enabling rapid, defensible incident response.

How does ShadowLock deploy across multiple client environments?

ShadowLock deploys through your existing RMM tool with a silent Windows agent that requires zero user interaction. The agent self-configures the browser enforcement layer automatically once installed. For MSPs, the multi-tenant dashboard provides a single interface to manage deployment, monitor activity, and apply policies across every client without needing dedicated security engineering or manual configuration on each endpoint.

Does ShadowLock capture keystrokes or transmit sensitive content?

No. ShadowLock is private by design with no keystroke logging and zero content transmission to external servers. The browser extension classifies pastes, file uploads, and typed data at the endpoint using local analysis. Only metadata about the event (tool used, risk classification, timestamp) is sent to the dashboard for auditing. The actual content of pastes or prompts never leaves the user's device.

What AI tools and applications does ShadowLock detect and govern?

ShadowLock detects and governs over 100 AI tools, services, and desktop applications. This includes public AI chatbots like ChatGPT, Claude, and Gemini; AI browser extensions like sidebar assistants and email rewriters; desktop AI apps like Claude Desktop, ChatGPT app, Ollama, and LM Studio; AI coding assistants like GitHub Copilot and Cursor; meeting and transcription AI like Otter.ai and Fireflies; and embedded AI features within Microsoft 365 and other SaaS platforms.

Can ShadowLock block AI usage entirely or only monitor activity?

ShadowLock supports both monitoring and blocking modes. IT teams can configure policies that block specific AI tools entirely, restrict certain data types (like PII or ePHI) from being pasted, or simply monitor and report on AI usage for visibility. Controls can be applied per client, per user group, or per policy, and can be toggled on or off through the multi-tenant dashboard without requiring endpoint reconfiguration.