In 2025, as the wave of agent AI (Agentic AI) sweeps the globe, artificial intelligence is evolving from a passive tool to a collaborative network of autonomous decision-makers, ushering in a new intelligent era. However, the rapid development of Agentic AI comes with severe challenges in data privacy, computational security, and trust mechanisms. Mind Network, centered on Fully Homomorphic Encryption (FHE), has launched the world's first blockchain infrastructure designed specifically for agent AI—AgenticWorld—to create a secure and trustworthy collaboration environment for Web3 and AI ecosystems, reshaping the future development paradigm of AI.
The Rise of Agentic AI and Security Bottlenecks
The concept of agent AI (Agentic AI) originates from Turing's question of 'Can machines think?' and McCarthy's vision of 'artificial intelligence,' evolving from rule-driven systems to neural networks. In 2024, Microsoft CEO Satya Nadella proposed 'building a rich Agentic World' at the Ignite conference, emphasizing that multimodal interfaces, reasoning abilities, and long-term memory will drive agent AI to change the way humans interact with technology. Nvidia CEO Jensen Huang predicted that the AI Agent market potential reaches trillions of dollars, while OpenAI's multi-agent framework and DeepSeek's open-source models further accelerate this trend. However, the autonomy and collaboration of Agentic AI bring four major security challenges:
Data Privacy: When agents handle sensitive information such as medical records and financial data, the transparency of traditional blockchains leads to the risk of leakage.
Computational Security: The decision process of black-box models is opaque and can easily be tampered with or manipulated.
Consensus Security: Multi-agent collaboration requires a verifiable consensus mechanism, while traditional blockchains only support transaction records, failing to meet complex demands.
Communication Security: Open collaboration between agents is vulnerable to eavesdropping and attacks.
OpenAI CEO Sam Altman warned: "AI security is much more important than most people realize." Addressing these challenges requires transcending the limitations of traditional blockchains to build a security infrastructure tailored for Agentic AI.
Fully Homomorphic Encryption (FHE): The security cornerstone of Agentic AI
Fully Homomorphic Encryption (FHE) is the 'Holy Grail of Cryptography,' allowing computation directly on encrypted data without decryption to generate encrypted results, fundamentally overturning the limitations of traditional encryption. The core functions of FHE include:
Key Generation: Generate private keys, public keys, and computation keys to support encryption and computation.
Encrypted Computation: Data remains encrypted throughout the entire process of transmission, storage, and computation, with only data owners able to decrypt.
Verifiability: Combined with zero-knowledge proofs (ZKP), it provides an audit trail for computations.
Ethereum founder Vitalik Buterin pointed out in his 2025 article (Why I support privacy): 'The combination of AI and FHE will be key to solving privacy issues in the future.' Mind Network applies FHE to Agentic AI, building the AgenticWorld ecosystem to address four major security challenges, providing agents with identity recognition, secure environments, decentralization, verifiable computation, and data protection.
How FHE Empowers Agent AI
Identity Recognition: FHE, combined with ZKP, achieves privacy-protected identity verification, allowing agents to prove their identity without exposing sensitive information. For example, when healthcare agents verify patient identities, they only process encrypted data.
Secure Environment: FHE ensures agents operate in untrusted environments with encrypted computations throughout, preventing tampering. For example, financial agents analyze encrypted asset data in the cloud without trusting service providers.
Decentralization: FHE supports collaboration without centralized coordination, allowing agents to reach consensus through encrypted consensus mechanisms. For example, cross-chain agents verify transactions without relying on bridges.
Verifiable Computation: FHE provides an audit trail for encrypted computations, combined with ZKP to verify the correctness of results. For example, verifying that the output of the DeepSeek model has not been tampered with.
Data Protection: FHE achieves end-to-end encryption, keeping data confidential from input to output. For example, after users encrypt health data, agents generate diagnostic recommendations that only users can decrypt.
FHE's 'end-to-end encryption' is a necessary condition for Agentic AI, as traditional encryption requires decryption during computation, exposing data to untrusted parties, while FHE ensures data security throughout its entire lifecycle, creating a zero-trust collaborative environment.
AgenticWorld: The Future of Collaboration for Millions of Agents
AgenticWorld is a decentralized agent ecosystem launched by Mind Network, aimed at achieving privacy protection and efficient collaboration in the agent network through FHE and blockchain technology. Its core architecture includes:
1. MindChain: FHE Blockchain Exclusively for AI
MindChain is the world's first blockchain designed exclusively for Agentic AI, EVM-compatible, optimized for high throughput and low fees. It ensures the privacy of on-chain computations through FHE, supporting cross-chain collaboration with BNB Chain, Ethereum, and others (Chainlink CCIP). Orchestration contracts have been deployed for immediate developer access.
2. Hub Contracts: Modular Task Center
The Hub defines tasks (such as prediction, verification, negotiation) through smart contracts, divided into basic Hubs (such as FHE consensus, APY 400%) and advanced Hubs (such as DeepSeek Hub). Users stake 10 $FHE to activate agents, with rewards available for withdrawal or continued staking after a 30-day maturation period.
3. Orchestration Layer: Standardized Collaboration
Orchestration contracts are similar to AI's MCP (Model Context Protocol), responsible for task distribution, cross-chain coordination, and reward allocation, ensuring plug-and-play interoperability between Hubs.
4. $FHE Token: Ecosystem Flywheel
$FHE has a total supply of 1 billion tokens, with an initial circulation of 24.9%. Its uses include staking, payment, governance, and rewards. On April 10, 2025, the TGE over-raised 174 times, raising 224,778 BNB, with participation from 74,926 addresses. Community allocation accounts for 41.7%, and investors and the team have a 12-month lock-up period, reflecting decentralized governance.
FHE's Practical Scenarios: From Healthcare to DeFi
The unique advantages of FHE enable its practical potential across multiple domains, with AgenticWorld showcasing several key scenarios:
Healthcare:
Scenario: The World AI Health Hub (in collaboration with Zama and InfStones) enables healthcare agents to collaborate across hospitals, analyzing encrypted patient data to provide accurate diagnoses.
Role of FHE: Full data encryption throughout the process to prevent leaks; verifiable computation ensures diagnostic accuracy.
Significance: Promotes privacy protection in health technology, compliant with regulations such as GDPR.
DeFi:
Scenario: Multiple agents collaborate to optimize investment portfolios, find arbitrage paths, and execute secure transactions. For example, agents analyze cross-chain assets (such as Ethereum and BNB Chain) to generate encrypted investment recommendations.
Role of FHE: Encrypts asset data to prevent naked exposure on-chain; cross-chain FHE Bridge ensures secure interoperability; consensus mechanisms verify optimal interest rates.
Significance: Enhances the privacy and trustworthiness of DeFi, attracting institutional users.
Gaming:
Scenario: Agents manage virtual assets in decentralized games and negotiate strategies. For example, agents calculate NFT transaction prices under encrypted conditions.
Role of FHE: Protects player data privacy and prevents cheating; verifiable computation ensures fairness.
Significance: Enhances the immersion and security of Web3 games.
As of April 2025, AgenticWorld supports 53,552 agents, with over 1.2 million $FHE staked, completing a total of 1.2 million hours of training tasks, demonstrating FHE's strong practical capabilities in real-world scenarios.
The Core Role of FHE in AgenticWorld
In an AgenticWorld accommodating millions of agents, the following conditions are crucial:
Privacy Protection: Agents need to handle massive amounts of sensitive data, and privacy is the foundation of trust.
Verifiable Collaboration: Multi-agent collaboration must ensure result correctness and prevent tampering.
Cross-chain Interoperability: Agents distributed across multiple chains require efficient and secure collaboration.
Decentralized Governance: The ecosystem needs fairness and transparency to avoid centralized control.
Economic Incentives: Sustainable reward mechanisms drive participation and innovation.
FHE plays a core role in this:
Privacy Protection: FHE achieves end-to-end encryption, keeping data confidential throughout the process, addressing the risks of privacy leakage.
Verifiable Collaboration: FHE consensus and verification mechanisms ensure agents can collaborate without trust, combined with ZKP to provide audit trails.
Cross-chain Interoperability: FHE Bridge ensures the privacy and integrity of cross-chain data transmission.
Decentralized Governance: FHE supports privacy voting and DAO governance, preserving decision-making privacy.
Economic Incentives: FHE-driven encrypted computation ensures fair and transparent reward distribution.
The Integration of AI and Blockchain: The Key Role of FHE
The combination of AI and blockchain provides a decentralized and transparent operating environment for Agentic AI, but the limitations of traditional blockchain (such as transparency and performance) constrain its potential. FHE plays a key role as a security infrastructure in the following aspects:
Multi-chain Collaboration: FHE Bridge enables cross-chain agent collaboration through Chainlink CCIP, protecting data privacy. For instance, agents from BNB Chain and MindChain collaborate to optimize investment strategies.
Consensus Mechanism: The FHE consensus mechanism allows agents to reach consensus on encrypted data, preventing collusion or manipulation. For example, agents predict market trends, and the Hub aggregates encrypted responses to generate trustworthy results.
Decentralized Confidential Computing (DeCC): FHE-driven DeCC allows agents to perform encrypted computations in untrusted environments, applicable in fields such as financial risk control and medical research.
HTTPZ Protocol: FHE supports HTTPZ (Zero Trust Internet Transport Protocol), achieving encryption throughout the entire data lifecycle during transmission, storage, and computation, replacing the server-side decryption vulnerabilities of HTTPS.
FHE and 'end-to-end encryption' are essential because the sensitive data handled by Agentic AI (such as identities and transaction records) may lead to catastrophic consequences if exposed. FHE ensures data privacy and computational integrity, creating a zero-trust environment that allows users to confidently authorize agents to access data.
Privacy protection for user authorization
"Would you allow AI to access your identity data, transaction records, and social preferences?" The answer depends on security guarantees. FHE makes authorization safe and controllable:
Encrypted Authorization: Users encrypt data with FHE public keys, and agents only process encrypted data to prevent unauthorized access.
Controllable Decryption: Only the user holds the private key and can choose to decrypt results, controlling the scope of data use.
Verifiability: FHE and ZKP ensure agent actions are transparent and prevent abuse. For example, when users authorize agents to analyze health data, FHE guarantees data privacy, and ZKP verifies diagnostic correctness.
This mechanism allows users to confidently authorize agents to perform tasks with clear privacy protection in mind.
The Significance of FHE for Future Visions
FHE is not only the technical cornerstone of AgenticWorld but also supports a broader future vision:
Decentralized Confidential Computing (DeCC): FHE-driven DeCC allows agents to perform encrypted computations in untrusted environments, promoting data collaboration in finance, healthcare, the Internet of Things, and more.
HTTPZ Protocol: FHE empowers HTTPZ, realizing a zero-trust internet with encryption throughout the data lifecycle, addressing privacy vulnerabilities in HTTPS, applicable to Web3 and AI ecosystems.
Post-Quantum Security: FHE has been recognized by NIST as a post-quantum encryption standard, ensuring the long-term security of Agentic AI in the era of quantum computing.
Ecosystem Collaboration and Market Potential
Mind Network's open architecture supports Web2 (LangChain, AutoGen) and Web3 (Swarms, AI16Z) frameworks, collaborating with giants like DeepSeek, io.net, Phala Network, and Chainlink, covering fields such as healthcare, finance, and gaming. Its FHE Rust SDK has been integrated by DeepSeek, open-sourcing over 40 FHE modules and deploying over 20 agent centers, showcasing technical leadership.
$FHE token FDV is approximately $66 million, lower than the previous round valuation of $100 million, showing potential for growth compared to Nillion, MyShell, and others. As a leading asset in AI security and the FHE narrative, $FHE is expected to become the core of the 'AI Agent Security Engine.'
Conclusion: Co-creating the future of Agentic AI
Mind Network builds a secure, autonomous, and trustworthy agent ecosystem through AgenticWorld, with FHE as its foundation. From medical diagnosis to DeFi investments, from cross-chain collaboration to privacy governance, FHE empowers Agentic AI with infinite possibilities. In April 2025, the TGE over-raised 174 times, with participation from 53,552 agents and over 2 million CitizenZ users, marking the realization of Mind Network's community-driven vision.
AgenticWorld is not only a technology stack but also a new level of digital civilization—a world where agents coexist with humans, balancing privacy and trust. Mind Network invites developers, users, and researchers to participate in building this future. Are you ready to join this transformation?