Build a Context-Aware DLP Entity Detector Without Regex (Prompt-Based Detection Demo)
See how to build a prompt-based custom entity detector in Nightfall that understands context, not just patterns. Using a real healthcare example, you’ll see how prescription numbers are detected accurately while similar-looking data like purchase order numbers are ignored. You’ll see: Why regex breaks down in real workflows How prompt-based detection reduces false positives Creating a custom detector with positive and negative examples Deploying it to Slack and validating results across files.