We present Helix Fabric v2, a serverless meta-orchestration architecture built on Cloudflare Workers that autonomously detects synthetic organizations, AI-generated personas, and intellectual property clones. The system introduces a Worker-that-creates-Workers pattern: a single orchestrator receives target descriptions, dynamically generates and deploys purpose-built detection workers through the Cloudflare Workers API, collects their signals into a composite threat evaluation pipeline, and spawns nullification workers that produce counter-content, prior art publications, and exposure reports. We formalize the complete type system comprising 5 target categories, 8 scanner types producing 15 distinct signal types, 4 nullifier types generating 7 artifact classes, and a 9-event orchestration bus. The threat evaluation function combines signal confidence with signal diversity in a weighted composite score. The architecture operates on Cloudflare edge infrastructure using D1, R2, KV, and Queues. This paper provides the complete formal analysis establishing architectural prior art for the meta-orchestrator pattern, detection taxonomy, and integrated detection-nullification pipeline.

Part of the Pastoral Tech research program. Related to DOI 10.5281/zenodo.18501586 (Helical Pipeline Architecture) and DOI 10.5281/zenodo.18520205 (Predictive Augmentation for Anticipatory Cyber Defense).