Sourcessourceseed2026-07-04ai-securityai-for-securityvulnerability-discoveryagent-orchestrationvalidation

Build your own vulnerability harness

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Cloudflare describes a model-agnostic, multi-stage vulnerability discovery and validation pipeline used across 128 repositories.
The pipeline externalizes run state to SQLite so stages can resume and agents can remain narrow and effectively stateless.
Discovery and validation use different models; an isolated validator attempts to disprove findings before they enter the reporting pipeline.
Gapfill, feedback, deduplication, and cross-repository tracing run as a producer-consumer loop around recon, hunt, and validation stages.
Cloudflare reports that a single skill run found only about half of the bugs observed across repeated runs. This is an operator claim, not an independently reproduced benchmark result.
The design treats response-text errors, context exhaustion, execution containment, dependency tracing, and finding provenance as orchestration concerns rather than prompt-only concerns.

This is an official vendor engineering blog and is classified as industry evidence.
Architecture details are reusable; scale and efficacy claims require independent reproduction.
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