When it comes to DUSK, many people first think of its achievements in the compliant financial sector. But if that's all you understand, it's a real pity. Its true technical trump card—"Auditable Privacy"—has far more potential than most imagine.

This technical solution combines zero-knowledge proofs and layered ledger concepts. In simple terms, it builds a framework of "privacy as infrastructure" within the Web3 world. Once this idea is established, the applicable scenarios go far beyond DeFi and RWA.

**The Business Confidentiality Dilemma in Supply Chain Finance**

Global supply chains are currently facing a classic dilemma: on one hand, all parties involved must share data to prove the authenticity of logistics and the compliance of fund flows; on the other hand, no one wants to expose their core business information like procurement costs and profit margins to competitors.

DUSK's approach is this: manufacturers prove to banks that "I have obtained compliant raw materials and can apply for financing," without revealing sensitive information like supplier names or purchase prices. Meanwhile, if regulatory authorities need to audit, they can, after authorization, trace the complete flow of this batch of goods to verify whether it truly comes from compliant channels and meets environmental standards, while the business contract details between companies remain confidential.

This is called "Verifiable Privacy"—data can be both used and protected.

**Privacy Breakthroughs in Medical Research**

Medical progress requires large-scale patient data, but privacy regulations like HIPAA and GDPR are very restrictive. DUSK aims to build a secure data collaboration ecosystem: patients retain sovereignty over their data and decide how their medical information is used and shared; research institutions, with proper authorization, can use these data for algorithm training and clinical analysis without seeing the original personal information; data platform providers and medical institutions are also constrained by cryptography and cannot exceed authorized boundaries to steal data.

Overall, the potential of this privacy computing framework has yet to be fully tapped. Once applied broadly, the ways in which data-sensitive industries like supply chain, healthcare, and finance collaborate could be fundamentally reshaped.