An AI governance platform that prevents employees from leaking sensitive data into unauthorized AI tools
Loading comments…
Maker
ShadowLock is an AI governance platform designed to prevent employees from leaking sensitive data into unauthorized AI tools. It provides visibility into shadow AI usage across browsers, desktop apps, and cloud tools, then enforces policies to stop data exposure before it happens. Built for MSPs and IT teams, ShadowLock monitors activity, detects risky extensions, and blocks sensitive content from reaching AI services like ChatGPT, Claude, and Gemini—even when accessed through personal accounts.
ShadowLock deploys silently to Windows endpoints via existing RMM tools, requiring zero user interaction. Once installed, it self-configures and immediately begins monitoring AI activity across browsers, desktop apps, and cloud tools.
The platform intercepts pastes, file uploads, and sensitive data typed directly into AI prompts. It classifies PII, credentials, SSNs, and card data entirely within the browser, stopping content before it reaches the AI tool. Typed secrets are redacted from the request before the model sees them.
ShadowLock reads the signed-in identity on any AI site and blocks personal or unauthorized accounts from sending prompts until a corporate account is verified. It also checks each AI tool's "train on my data" setting and blocks prompts until it's switched off—supporting ChatGPT, Claude, Perplexity, Le Chat, Copilot, and Grok.
Connecting to each customer's Microsoft 365 tenant via Microsoft Graph, ShadowLock scans for AI apps with OAuth access—Copilot plugins, third-party AI add-ins, and other service principals. New connections trigger critical alerts automatically, with no endpoint required.
ShadowLock covers the full AI surface without enterprise-level deployment complexity or dedicated security engineering.
Other tools you might consider
Most AI governance tools focus on browser-only controls, leaving desktop apps, local LLMs, and developer tools unmonitored. ShadowLock detects offline tools like Ollama and LM Studio, flags AI sidebars and writing assistants, and disables AI built into browsers by enterprise policy—all deployed silently through existing RMM infrastructure. This means MSPs and IT teams gain comprehensive visibility without adding deployment overhead or requiring users to change their workflows.
You manage multiple client environments and need a single pane of glass for AI risk governance, or if your organization handles sensitive data that could trigger compliance violations when pasted into unauthorized AI tools. ShadowLock is especially relevant for teams that have already discovered employees using personal-account AI tools or local LLMs outside browser-based controls.
