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

Learn how to build a business-specific detector in minutes, not weeks, and validate it in real time.

Get a Nightfall demo: https://nightfall.ai/demo