Dark web fraud signals (Part 2): building the intelligence pipeline
- The problem
- How do you collect and classify dark web content safely and at scale?
- Why it matters
- Builds the first three pipeline agents: a crawler with a circuit breaker, Claude-powered classification across 10 fraud categories, and enrichment.
- Who should read it
- Security and ML engineers
- What you'll get
- A hands-on agent pipeline.
- Series
- Dark Web Fraud Signals, Part 2 of 3
The full article lives on Builder Center. This page is a short guide to what it covers.