AI Data Loss Prevention: Stop Sensitive Data Reaching AI

Traditional DLP wasn't built for the AI era. ShadowLock classifies content on the endpoint as it's pasted into ChatGPT, Claude, Gemini, and the rest, and stops sensitive data from leaving in the first place.

Paste blocked
Customer PII detected
Destination: chat.openai.com
jane.smith@acme.com
+1-415-555-0142
123 Main St, SF
3 matches · email, phone, address · classified on-device

Your DLP was designed for email.

The threat surface moved. Legacy DLP watches files and network egress; AI DLP watches the clipboard.

Legacy DLPAI DLP
Watches clipboard pastes into web apps
Knows the AI tool catalogue
Classifies on-device, content never sent to cloudpartial
Sees anonymous & personal-account AI use
Reports in AI-specific terminology
Built for email attachments and USB sticks
Watches file system & network egresspartial

What gets classified

Pretrained classifiers cover the common cases; custom regex and keyword rules handle whatever's unique to you.

Customer PIISource codeAPI keys & secretsFinancial dataProtected health infoInternal contractsBoard materialsCustomer recordsAuthentication tokensProject codenamesCustom regexKeyword lists

Indigo = pretrained · Gray = custom-definable

AI DLP FAQ

What is AI data loss prevention?

AI data loss prevention (AI DLP) is a category of security tooling purpose-built to stop sensitive data from being submitted to generative AI tools like ChatGPT, Claude, Gemini, and Copilot. Unlike traditional DLP, AI DLP understands clipboard paste flows into browser-based AI tools and classifies content in real time before it leaves the endpoint.

How is AI DLP different from traditional DLP?

Traditional DLP was built for email attachments and file transfers. It does not see clipboard pastes into web-based AI tools, does not know which destinations are AI services, and does not have classifiers tuned for the AI threat model. AI DLP solves all three: it watches paste flows, knows the AI tool catalogue, and is purpose-tuned for the kinds of sensitive content employees actually leak to AI.

Where does ShadowLock's AI DLP do classification: endpoint or cloud?

Classification happens entirely on the endpoint. Clipboard content is never sent to the ShadowLock cloud. Only event metadata, which tool, which user, which classifier matched, is reported to the dashboard. Your sensitive data stays on your device.

Can we customize the data classifiers?

Yes. ShadowLock ships with a library of pretrained classifiers (PII, credentials, source code, PHI, financial data) and lets you enable, disable, or extend them per organization. Custom regex and keyword classifiers let you cover content unique to your environment, such as internal project codenames or contract numbers.

Does AI DLP block or just alert?

You choose, per classifier and per AI destination. Set classifiers to silent audit while you tune them, then promote to blocking once you trust the signal. When something is blocked, the user sees a customizable block page explaining why and what to do next.

Close the AI data leakage gap

Free 14-day trial. Classification runs entirely on the endpoint.