The privacy computing track is accelerating its evolution, with different technical routes focusing on various aspects.

In the off-chain computing market, RLC focuses on building decentralized computing infrastructure to make data processing more flexible and efficient. Meanwhile, fully homomorphic encryption technology is gradually becoming a new direction for privacy protection—FHE-based solutions can perform computations directly without decrypting data. Projects like MindNetwork are exploring the integration of DeFi and data privacy in this field.

Multi-party computation (MPC) and blind computation offer another technical pathway. Nillion has built a dedicated multi-party computation network for private data processing, allowing data owners to participate in collaborative computations without exposing the original information. This approach is particularly suitable for cross-chain data collaboration and privacy DeFi scenarios.

In the field of confidential computing, Oasis Protocol, as an L1 public chain, has built a complete privacy computing ecosystem from the underlying architecture. Compared to single-technology solutions, this full-stack design from consensus layer to application layer better ensures privacy compliance.

Overall, privacy computing is evolving from a single privacy solution to a multi-technology fusion, providing more diverse privacy protection options for Web3 applications.