Build Your Own Vulnerability Harness
Original: Build your own vulnerability harness
Cloudflare details a multi-stage LLM-powered vulnerability discovery harness with automated triage and adversarial false-positive filtering.
Cloudflare has published a technical breakdown of an AI-assisted vulnerability discovery pipeline built around multiple processing stages and an automated triage loop. The architecture addresses false positives through adversarial review, where the system challenges its own findings before surfacing them to humans. The post also covers state control strategies and techniques for routing around the context-window limits inherent to large language models.
Cloudflare has shared a detailed architectural reference for building an LLM-assisted vulnerability discovery system, walking through the design decisions, failure modes, and engineering solutions that shaped their internal harness. The post targets security engineers and developers who want to move beyond ad hoc prompt experimentation and build production-grade automated security tooling.
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