In 2025, the wave of agent AI sweeps the globe, as artificial intelligence transitions from a passive tool to a collaborative new era of autonomous decision-making. However, challenges such as data privacy breaches and computational security vulnerabilities also arise. Mind Network launches the world's first dedicated blockchain infrastructure for agent AI, AgenticWorld, with fully homomorphic encryption (FHE) technology at its core, creating a secure and trustworthy collaborative environment for Web3 and AI ecosystems, reshaping the landscape of AI development.
What is FHE?
FHE is a technology that allows direct computation on encrypted data, possessing strong privacy protection capabilities. Despite being currently limited by high computational overhead and poor scalability, improvements are expected through hardware acceleration and algorithm optimization. With the development of technologies like blockchain, FHE will play a key role in privacy computing and has the potential to become a core support in the field of data security.
Analysis of FHE technology: Advantages and challenges coexist
In Web3 privacy computing, FHE, ZK, MPC, and TEE are several mainstream solutions. FHE has stronger general computing capabilities compared to ZK, supporting various operations directly on ciphertext; MPC emphasizes collaborative computation of multi-party data without exposing private information; TEE provides a trusted environment but has lower flexibility. Overall, FHE has greater potential for handling complex computational tasks.
The commercialization of FHE still faces considerable challenges:
High computational overhead: FHE consumes significantly more resources than traditional computing, especially when handling high-degree polynomials, leading to noticeable performance bottlenecks and limited real-time capability.
Limited operational capability: While supporting addition and multiplication, it has weak support for nonlinear operations (such as activation functions in deep learning), limiting applications in fields like AI.
High complexity for multiple users: FHE performs well in single-user environments, but multi-user data computation involves significant challenges in key management and system design.
Despite many limitations, FHE is expected to become a key pillar technology for privacy computing through algorithm optimization and hardware acceleration.
FHE: The 'Cryptographic Holy Grail' for cracking AI security
Fully Homomorphic Encryption (FHE) allows computations directly on encrypted data without decryption, achieving computational verifiability through zero-knowledge proofs. Ethereum founder Vitalik also pointed out that the combination of FHE and AI is key to solving privacy issues. Mind Network applies FHE to AgenticWorld, providing agents with core capabilities such as identity verification, secure computation, and decentralized collaboration, completely eliminating the risk of data leakage.
AgenticWorld: Restructuring the ecosystem of agent collaboration
MindChain: The world's first AI-exclusive FHE blockchain, compatible with EVM, supporting cross-chain collaboration, ensuring on-chain computation privacy.
Hub Contract: A modular task center where users stake $FHE tokens to activate agents, earning high rewards upon task completion.
Orchestration Layer: A standardized collaboration protocol for task distribution and cross-chain coordination.
$FHE Token: The core token of the ecosystem, used for staking, governance, and rewards, with an oversubscription of 174 times during the TGE phase and deep community participation.
Multi-scenario practical verification of technical capabilities
In the medical field, AgenticWorld collaborates with multiple parties to create a health data collaboration platform, encrypting patient information to ensure diagnostic accuracy; in DeFi scenarios, agents analyze cross-chain assets through FHE to generate encrypted investment strategies; in gaming scenarios, protecting player data privacy to ensure fair competition. The platform currently supports over 50,000 agents, staking more than 1.2 million $FHE tokens, completing millions of hours of training tasks.
Zama: Based on TFHE technology, focusing on Boolean operations and low-bit integer operations, and has built an FHE development stack for blockchain and AI applications.
Octra: Developed a new smart contract language and HypergraphFHE library suitable for blockchain networks.
Privasea: Utilizing FHE to achieve privacy protection in AI computing networks, supporting various AI models.
MindNetwork: Combining FHE with artificial intelligence to provide a decentralized and privacy-protecting AI environment.
Fhenix: As a Layer 2 solution for Ethereum, it supports FHE Rollups and FHE Coprocessors, is compatible with EVM, and supports smart contracts written in Solidity.
FHE not only addresses privacy and security issues for agents but also promotes innovations such as cross-chain collaboration and decentralized confidential computing. Through Chainlink CCIP, multi-chain agent collaboration is achieved, with an FHE-based consensus mechanism preventing data manipulation, and the HTTPZ protocol replacing traditional HTTPS to achieve end-to-end data encryption.
Future Vision
$FHE token, as a core asset in the field of AI security, has significant growth potential. With the development of decentralized confidential computing and post-quantum security technologies, FHE will open up broader possibilities for the integration of AI and blockchain.
The emergence of AgenticWorld marks a new phase of safety and trust for agent AI. From technological innovation to ecosystem co-construction, Mind Network invites global developers and users to participate in building a new digital civilization where agents and humans coexist harmoniously.
