As crypto continues to evolve into the fabric of the next-generation internet, a new technical frontier is emerging. Computation, once treated as a back-end function, now demands re-engineering to meet the rising demands of privacy, compliance, and interoperability. Just as HTTPS transformed the early internet by securing data in transit and enabling trust between users and services, a new paradigm called Decentralized Confidential Computing (DeCC) is creating the secured trust that is necessary for Web3 to function at scale…and it is gaining momentum.
At its core lies Fully Homomorphic Encryption (FHE), a technology previously confined to academia that is now becoming operational within the crypto ecosystem.
Mind Network is leading this transition. Just as Chainlink became the oracle layer for DeFi, Mind Network is positioning itself as the confidential computation layer for Web3. The platform enables encrypted computation, compliant data privacy, and secure coordination for both AI agents and decentralized applications.
Vitalik Buterin highlights the urgency of privacy infrastructure
In a recent essay, Ethereum co-founder Vitalik Buterin outlined why building privacy infrastructure for Web3 and AI is one of the most pressing challenges of our time. He emphasized that privacy protects decentralization, AI is accelerating data collection beyond user awareness, and universal, open-source privacy tooling is a critical need.
Mind Network is directly addressing these concerns. Its mission is to provide a cryptographic foundation for the next generation of decentralized systems, ranging from Layer 1 chains to agent economies, DAOs, and DeFi protocols. Thousands of projects will require infrastructure that supports real-time encrypted compute without sacrificing functionality, and Mind Network has already delivered this.
Privacy-preserving AI for Web2 and Web3 developers
Mind Network is not only building for Web3. The team has released a Rust-based FHE SDK designed specifically for Web2 developers. Major large language model platforms like DeepSeek AI have integrated the SDK, enabling AI systems to process sensitive user data without directly accessing it. This marks a shift from theoretical to practical privacy-preserving AI.
Enabling the AgenticWorld
The rapid rise of agentic systems further increases the urgency for secure computational infrastructure. In the near future, millions of autonomous agents will operate on behalf of users. These agents will coordinate tasks, exchange value, and learn continuously. However, they will require more than compute power. They will need encrypted memory, long-term private identity, and secure coordination channels.
Mind Network is purpose-built for this future. With FHE at its core, agents can reason over encrypted data without ever revealing it. Using zero trust access control, they can validate identity and intent while maintaining pseudonymity. Through encrypted messaging and decentralized consensus, they can safely collaborate across trust boundaries.
This infrastructure is already being deployed in live applications. DeepSeek’s AI systems use Mind Network to secure data processing. Swarms Corp is leveraging it to power autonomous coordination networks. The World AI Health Hub uses it to facilitate secure biomedical data exchange across institutions and jurisdictions.
Toward HTTPZ: A new standard for secure computation
Mind Network shares and embraces the vision of HTTPZ, a protocol proposed by Zama. The goal of HTTPZ is to establish an encrypted default for every interaction, transaction, and computation across Web3 and AI ecosystems. Just as HTTPS became the standard for secure communication in Web1, HTTPZ aims to be the secure foundation of Web3 and the AgenticWorld.
Emerging use cases across ecosystems
Mind Network’s confidential computing layer is already being utilized across a growing number of advanced use cases, including:
- Encrypted AI inference and verifiable agent computation
- Privacy-preserving agent memory and persistent identity
- Secure federated learning for decentralized model training
- FHE Bridge enabling confidential cross-chain value flows
- Infrastructure powering the World AI Health Hub (WAHH), a privacy-first platform for biomedical research data exchange
All of these use cases run on FHE and are designed to be chain-agnostic, supporting deployment across blockchain environments.
Enabling compliant privacy in DeFi
In the DeFi space, the missing layer has long been compliant privacy. As global regulatory scrutiny intensifies, privacy must evolve into a form that is both auditable and enforceable. Mind Network is already productized for this environment. When institutional capital arrives, the infrastructure will be ready, featuring audited technology, live deployments, and growing ecosystem partners.
The Role of the FHE token
At the center of this system is the FHE token. It enables staking, verifier delegation, and decentralized governance. The token acts as the coordination mechanism for the network, ensuring it remains trustless and secure as it scales.
Key milestones achieved
Mind Network has rapidly hit several major milestones, signaling both technological execution and market traction:
- Set a TGE pace record, completing Binance Wallet TGE, Alpha release, and Futures listing within 48 hours
- Integrated by DeepSeek to support privacy-preserving AI systems
- Reached 2.2 million active wallets and activated 50,000 FHE-powered AI agents
- Became the first FHE project to simultaneously launch a mainnet and a token
- Team members include Ethereum Fellows and contributors to Ethereum Foundation research
- Incubated by Binance Labs, Chainlink BUILD, and Consensys Scale
Mind Network’s roadmap for the rest of the year
Confidential compute is no longer conceptual
While the Token Generation Event was a significant achievement, the team views it as more than just a milestone. It signals that confidential compute is no longer theoretical. It is live, it is functional, and it is quickly becoming essential to AI systems and the decentralized web.
About Mind Network
Mind Network is backed by prominent investors including Binance Labs, Cogitent, Hashkey, Animoca Brands, and Chainlink. The team has also received two Ethereum Foundation Grants for its FHE research and works in partnership with Zama to bring encrypted computing to the forefront of the next generation internet.