Data loss prevention
for every AI platform

AI data loss prevention (AI DLP) stops sensitive data from leaking into generative AI tools. Instead of scanning email and file shares like legacy DLP, it inspects the prompt an employee types and the file they upload, in real time at the browser and endpoint layer, and blocks or redacts data such as PII, financial records, and source code before it reaches ChatGPT, Microsoft Copilot, Google Gemini, Claude, or any of thousands of other AI tools.

Aona enforces one data loss prevention policy across every major AI platform, including ChatGPT, Microsoft Copilot, Google Gemini, and Claude, plus 5,600+ other AI tools employees reach for. Each of the major platforms also has its own deep-dive page covering exactly how data leaks through it and how Aona stops it.

Legacy DLP inspects network traffic and data at rest, but AI usage happens inside an encrypted browser session where network DLP reads nothing. Aona operates at the prompt level: it inspects the text and files an employee submits before they leave the device, enforces policy the moment the prompt is sent, and can redact just the sensitive portion instead of blocking the whole interaction.

No. Blanket blocking pushes AI usage onto personal devices where you have no visibility. Aona reserves hard blocks for genuinely risky tools and data, and uses redaction and real-time coaching for everything else. A regulated Australian healthcare college using this approach cut shadow AI prompts by 92.9% in three months while overall AI usage kept growing.

No. Aona complements legacy DLP rather than replacing it. Your existing DLP keeps covering email, file shares, and endpoints; Aona adds the layer legacy tools cannot see, which is the prompt and file upload inside AI platforms. Most organisations run both side by side.