Privacy Meets Speed: How Zero-Knowledge (ZK) Technology Is Reshaping the Future of Web3

11/20/2025, 7:55:32 AM
Zero-knowledge technology (ZK technology) has become the new engine of Web3, transforming the blockchain landscape from zkEVM scaling to privacy authentication. This article delves into its latest trends and potential.

The core value of zero-knowledge technology (ZK)

Zero-knowledge technology (ZK technology) is not just a simple encryption tool; its true innovation lies in the balance between privacy and verifiability. In traditional blockchains, to verify certain data, you must see it, while ZK allows you to "prove knowledge without revealing it." This is particularly important in sensitive scenarios: personal identity, financial records, and corporate secrets can all be verified with minimal exposure.

In addition, by executing a large number of computations off-chain and only submitting the "proof" to the main chain, ZK technology can greatly enhance the throughput of the blockchain system and solve the scalability issue.

ZK-Rollup and zkEVM: Scaling Engine

ZK-Rollup is currently the most mature application: it processes hundreds of transactions off-chain and then generates zero-knowledge "validity proofs" to submit to the main chain for verification, significantly saving gas and increasing speed.

With the advancement of technology, zkEVM (ZK Virtual Machine supporting Ethereum smart contracts) has emerged, allowing developers to build smart contracts in the familiar Solidity or EVM environment while enjoying the scalability and security brought by ZK.

These solutions are being actively promoted by multiple teams, indicating that the Web3 Layer 2 ecosystem is maturing rapidly.

The application of ZK in privacy and identity

In addition to scalability, privacy identity (DID) is an important application direction of ZK technology. Recent research proposes building a decentralized identity framework using ZK, where users can prove their "age over 18" or "having certain qualifications" without revealing their actual identity.

For example, in a permissioned blockchain, with the help of zk-SNARK, privacy execution of smart contracts can be achieved: participants can execute transactions or contract logic without disclosing specific parameters, only submitting a ZK proof.

In addition, applying ZK to the federated learning paradigm allows for training machine learning models across multiple nodes while using ZK to prove that participants indeed did the work without revealing the training data.

Latest Research Hotspot: Real-time Proof and Decentralized Consensus

Recently, some teams have made significant strides in the "real-time ZK proof" space. For example, the Brevis project announced Pico Prism: it can generate block-level proofs in seconds under high-performance GPUs, which means that validators can verify new blocks more quickly without having to replay all transactions.

There is also research exploring the integration of ZK into consensus mechanisms, such as using ZK PoT (Proof of Training) to verify the training contributions of participants in federated learning, thereby achieving a privacy-preserving and decentralized consensus.

Risk and Challenge Analysis

Despite the broad prospects, ZK technology is not without risks:

  • Cost of computation: Generating proofs is still very resource-intensive, especially for complex circuits or large-scale systems.
  • Trusted setup issue: Some zk-SNARK systems still rely on a trusted setup, and if compromised, security will be threatened.
  • Data availability: For certain ZK-Rollup models, the unavailability of off-chain data can affect user security.
  • Ecological compatibility: Although zkEVM is evolving, not all smart contract logic / dApps are perfectly compatible.
  • Hardware Dependence and Centralization: High-performance ZK generation may rely on strong computing power or specialized hardware, which could limit distributed participation.

Future Outlook: From Layer 2 to Layer 1

Looking ahead, ZK technology may not only be applied to Layer 2 scaling but may also penetrate Layer 1: with the maturation of real-time proofs, light client validation, and decentralized consensus mechanisms, the main chain may shift towards a "light verification + ZK proof" model, fundamentally optimizing efficiency and participation thresholds.

In addition, combined with Web3 identity, cross-chain interoperability, privacy finance, and more, ZK technology will become the core foundation for building the next generation of decentralized applications. We may be ushering in a "ZK-driven blockchain new era."

* The information is not intended to be and does not constitute financial advice or any other recommendation of any sort offered or endorsed by Gate.