AI DLP foryour workforce

AI DLP (AI data loss prevention) is DLP built for the way employees actually use AI: typing prompts and uploading files into tools like ChatGPT, Microsoft Copilot, Gemini, and Claude. Aona inspects supported prompts and attachments through a deployed browser plugin or native app, and blocks or redacts sensitive data such as PII, financial records and source code before submission. Coverage depends on the supported client and input path.

AI DLP focuses on the prompts and files employees submit to AI services. Existing DLP can also protect some AI interactions through endpoint, browser or network inspection, depending on configuration and licensing. Compare the exact app, account, client and input path. Aona adds policy-driven blocking or redaction on supported interactions through its deployed browser plugin or native app.

Shadow AI extends beyond familiar services such as ChatGPT, Microsoft Copilot, Gemini and Claude to niche tools that may never have gone through procurement. Aona’s catalogue contains 10,000+ AI tools for discovery and risk context. Active blocking and redaction depend on the supported tool, client and input path, rather than applying uniformly to every catalogue entry.

No. The configured policy determines which supported submissions are blocked or redacted and what guidance the employee receives. Redaction can preserve a useful request while replacing sensitive entities. Validate the intended outcome and an allowed input with synthetic data; no single policy response fits every app or data category.

Adding Aona does not require replacing every established DLP control. First map what your current stack covers, then evaluate the employee AI actions that need additional protection. Check the intended device, client, policy response and coexistence with your installed controls during the evaluation.