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After talking about blockchain for so many years, most people still understand it as a transfer tool. Speed, low cost, removing middlemen—these advantages truly shine in daily payments and trading speculation. But when it comes to complex financial operations, this approach starts to fall short.
For example, large-scale transactions between institutions, supply chain financing, and credit assessments require not just speed but selective transparency. Trading strategies, position sizes, financing arrangements—these are essentially business secrets. If all of this is permanently published on the chain, institutions won't dare to participate, and it could even invite various risks.
Frankly, the issue isn't performance bottlenecks but privacy protection.
The serious financial world has never advocated extreme transparency. Dusk Network has recognized this. It doesn't treat privacy as a marketing buzzword but as a fundamental principle of financial system design. Using cryptographic techniques like zero-knowledge proofs and secure multi-party computation, it builds a computing platform capable of handling complex financial operations without forcing data details to be publicly disclosed.
Practical scenarios are already emerging.
Institutional-level trading is one example. Financial institutions can settle transactions while hiding trading strategies and position structures, all while ensuring compliance audits are fully satisfied. In this way, trading counterparties can't see the data, but regulators can see what they need to—each side gets what they require.
Supply chain finance can also be implemented. Participants don't need to exchange complete commercial data, only share "trustworthy results." This allows financing processes to run automatically, with full protection of business secrets. Efficiency improves, and risks actually decrease.
In the fields of digital identity and credit assessment, the benefits are even more direct. Users don't have to hand over raw data to auditors; they only need to prove they meet the criteria. Separating "proof" from "disclosure" protects privacy on one hand, while the system can still make decisions on the other. This is the true balance between privacy protection and business needs.