In today's rapid development of data privacy and AI technology, Mind Network is bringing a systematic solution for Web3 that balances privacy, security, compliance, and intelligent collaboration with a new encryption infrastructure.
I. Background and Vision
The core values of the Web3 era are decentralization, transparency, and freedom, but in practical applications, especially involving cross-border payments, financial settlements, RWA on-chain, and AI Agent collaboration, data privacy and compliance have become the biggest obstacles.
Currently, mainstream blockchains have serious deficiencies in message layer communication, privacy encapsulation, and structured encrypted data transmission. This means:
Settlement instructions for complex transactions, interest rates, derivatives, foreign exchange, and other information cannot be transmitted securely
Customs documents, tax invoices, and audit data in cross-border trade cannot be privately encapsulated
Lack of credible verification and tamper-proof mechanisms in multi-Agent collaboration
The mission of Mind Network is to build a foundational network that is privacy-controllable, compliant and trustworthy, and verifiable for collaboration, allowing the Web3 infrastructure to truly enter the institutional application phase.
II. Core Technologies and Innovations
1. On-chain Encrypted Messaging Protocol (Encrypted Messaging Onchain)
Referencing SWIFT message structure to achieve on-chain encrypted storage of files/structured information
Data encapsulated as NFTs, supporting permanent tamper-proof and auditable
Metadata encryption, only authorized users can decrypt and view
Applicable Scenarios: RWA (Real World Assets) on-chain, cross-border payments, derivatives settlement, compliance audits, inter-institutional transaction order transmission
2. Fully Homomorphic Encryption (FHE) and Zero-Knowledge Proof (ZKP)
Support computation without decrypting data
Achieve secure and compliant cross-chain transfer of assets in conjunction with FHE Bridge
Provide privacy computing capabilities for highly sensitive fields such as finance, healthcare, and supply chains
3. MCP Model Context Protocol
Connect the execution layer of AI Agents with the security trust layer
Verify the authenticity and legality of AI outputs, even if the data is not decrypted
Provide credible historical behavior records and reputation systems for multi-Agent collaboration
Application Scenarios: AI risk control, automated trading, intelligent investment advisory, cross-border auditing
III. Application Scenarios
1. Financial Transactions and Cross-Border Payments
Sensitive information such as settlement instructions, identities of the trading parties, and currency usage encrypted transmission
Support secure processing of complex instructions such as foreign exchange, interest rates, and derivatives
2. Real World Assets (RWA) on-chain
On-chain encrypted storage of real estate, bonds, and other asset-related agreements and documents
Provide compliant auditing and regulatory interfaces
3. AI Agent Collaboration and Trusted AI
Provide data privacy protection services on the COZE AI Agent platform
Solve the issues of untrusted AI outputs and difficult-to-verify results
Build a 'credit system' for AI, laying the foundation for future AI finance and automated decision-making
IV. Cooperation and Ecological Layout
Mind Network has made breakthroughs in the integration of Web2 and Web3:
ByteDance Ecosystem: Signed MOU with BytePlus, expected to cover 40 million users on Lark, and provide privacy computing capabilities on COZE AI Agent platform
Alibaba Cloud: Exploring cooperation for trusted AI and privacy computing in the cloud
Ant Chain: Initiated preliminary cooperation on on-chain encrypted messaging protocols (not disclosed stage)
These collaborations not only validate the technological capabilities of Mind Network but also open the door to entering the global enterprise and institutional market.
V. Future Outlook
Mind Network will continue to deepen the technical layout of privacy computing, trustworthy collaboration, and AI credit systems, and focus on the following areas:
Build a cross-chain encrypted communication standard
Promote the compliance process of RWA and cross-border payments on-chain
Build AI credit infrastructure to serve the multi-Agent economy
Establish a global institutional-level privacy network, promoting the true landing of Web3
In today's world where privacy and trust are the core competitiveness of the global digital economy, Mind Network stands at the critical junction of the integration of Web3 and AI, defining the future of data security with technology.
