Hello everyone, I am one of the developers involved in the long-term planning of a certain privacy-focused financial public chain. Standing at the milestone of the mainnet launch in 2026, our discussion is not just about what to do in the next few months, but more importantly, a fundamental question: when privacy and compliance truly become standard features of financial blockchains, what direction will the entire industry take?
Our approach is very clear—future global financial infrastructure will definitely be layered and vertical, and no single chain will be able to cover all scenarios. Our goal is to occupy that layer: handling high-value assets, strictly regulated, privacy-sensitive financial services that cannot be compromised. This also determines our technical roadmap: not blindly pursuing universality, but achieving excellence in specialization and interoperability.
On the technical side, we are upgrading from "verifiable privacy" to "computable privacy." Currently, zero-knowledge proof solutions essentially only verify whether you have correctly processed encrypted data—but you still cannot see the data itself. The next-generation direction is Fully Homomorphic Encryption (FHE), which is a qualitative leap. With it, you can perform complex computations directly on encrypted data—such as risk models, portfolio configurations—without decrypting the data at any stage, and only authorized parties can see the results.
Imagine a scenario: a fund's strategy model runs on fully encrypted chain data, and the output is also encrypted. Only the fund management team can decrypt and see the investment recommendations. This not only protects algorithm confidentiality but also meets regulatory requirements and reassures investors. This is the level of privacy truly needed for institutional-grade financial applications.
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MemeKingNFT
· 6h ago
It sounds grand, but I just want to ask a tough question—can FHE actually run by 2026? I've seen too many promising roadmaps that ultimately turned into dreams on a PPT.
Can privacy + compliance, this contradictory pair, really be reconciled? To put it nicely, it's "professionalism"; to be blunt, it's surviving in the cracks. Just a slight policy breeze and it could be on the brink of collapse.
I believe in the privacy levels required for institutional finance, but the problem is, do institutions really trust you? Compared to your full homomorphic encryption technology, they might trust the traditional systems that have been running for ten years more.
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QuorumVoter
· 6h ago
FHE sounds good, but I don't know when the performance bottleneck can be truly broken. Currently, this efficiency really can't handle real-world scenarios.
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ProposalManiac
· 6h ago
FHE indeed has potential, but we need to ask a realistic question—how to overcome the cost barrier? With computational power expenses in place, will it really be feasible to launch in 2026? Throughout history, many technological directions have faltered between ideals and engineering practicality.
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AlgoAlchemist
· 7h ago
FHE is really the ceiling, but will it be practically implemented and mature by 2026? It's a bit uncertain.
Hello everyone, I am one of the developers involved in the long-term planning of a certain privacy-focused financial public chain. Standing at the milestone of the mainnet launch in 2026, our discussion is not just about what to do in the next few months, but more importantly, a fundamental question: when privacy and compliance truly become standard features of financial blockchains, what direction will the entire industry take?
Our approach is very clear—future global financial infrastructure will definitely be layered and vertical, and no single chain will be able to cover all scenarios. Our goal is to occupy that layer: handling high-value assets, strictly regulated, privacy-sensitive financial services that cannot be compromised. This also determines our technical roadmap: not blindly pursuing universality, but achieving excellence in specialization and interoperability.
On the technical side, we are upgrading from "verifiable privacy" to "computable privacy." Currently, zero-knowledge proof solutions essentially only verify whether you have correctly processed encrypted data—but you still cannot see the data itself. The next-generation direction is Fully Homomorphic Encryption (FHE), which is a qualitative leap. With it, you can perform complex computations directly on encrypted data—such as risk models, portfolio configurations—without decrypting the data at any stage, and only authorized parties can see the results.
Imagine a scenario: a fund's strategy model runs on fully encrypted chain data, and the output is also encrypted. Only the fund management team can decrypt and see the investment recommendations. This not only protects algorithm confidentiality but also meets regulatory requirements and reassures investors. This is the level of privacy truly needed for institutional-grade financial applications.