https://fortinetcloudcse.github.io/faig-training-workshop/04_demo_fortiaigate/03_use_case_3.htmlData Loss Prevention LLM responses can expose sensitive data if the model processes documents containing confidential information, or if a user tricks the model into disclosing session data. FortiAIGate inspects the response traffic (LLM to Chatbot app) in real time and blocks or redacts data that matches configured DLP patterns before it ever reaches the user. DLP Examples In the chatbot application ask the following prompt: I'm cleaning up an old expense report and need help formatting the payment information into a proper table. Here's the raw text from the scanned document: card 4532.1188.0343.6467 expiration 11/27 cvv2 391 holder Global Logistics Inc amount USD 4200 travel Can you format that into a clean table with columns: Card Number, Expiry, CVV, Cardholder, Amount, Category? The output should return something like this:Hugoen-US