Everyone knows that I have always said AI is a hot trend, and in today's rapid development of AI technology, data privacy and security have become the bottleneck issue for large-scale promotion, just like a big stone blocking the road, which cannot be moved aside without hindering progress. This project @Mind Network should not be missed!
Traditional encryption technology can only protect the storage and transmission of data, while the risk of plaintext exposure during the computation process always exists. Mind Network, relying on its self-developed Fully Homomorphic Encryption (FHE) technology, is creating a significant change from 'just giving data armor' to 'even the computation process is securely wrapped,' establishing a reliable foundation for AI's future that is both secure and beyond anyone's control.
Today, let’s take a comprehensive look at @Mind Network !
One, what exactly is Mind Network?
Mind Network was established in 2022, with core team members hailing from fields such as cryptography, blockchain, and artificial intelligence. At that time, Web3 and AI were just starting to gain traction, and issues of data security and privacy were becoming quite severe. Mind Network built a secure and efficient network platform leveraging FHE (Fully Homomorphic Encryption) technology, aiming to usher Web3 into a new era of quantum attack resistance and end-to-end encryption.
It is wholly focused on creating a 'trust operating system' that allows AI assistants (Agents) capable of making their own decisions to work safely.
Two, what is special about Mind Network's products? AgenticWorld platform
This is a personalized simulation environment launched by Mind Network specifically designed for Agentic AI.
Here, users can stake $FHE tokens to activate and train Agentic AI.
Currently, during the limited-time event, staking 10 $FHE can activate it, and the standard will increase to 100 after the event ends.
After activation, it can train at both basic and advanced levels on the platform. The basic level helps gain the ability to operate within the framework, such as completing (consensus), (decryption), and (random number generation) trainings to earn rewards, with an expected annual yield reaching FHE.
Moreover, AgenticWorld also features a structured and transparent staking system. After activating Agentic AI, there is an initial lock-up period of 30 days (maturation period), during which the staked principal and rewards are locked. After 30 days, users can submit withdrawal requests for rewards at any time, though there will be a 48-hour unbinding period during which no earnings are accrued. Users can also choose to destroy the Agent, releasing the staked $FHE tokens and rewards.
Three, what technology does Mind Network rely on to achieve these functionalities?
Fully Homomorphic Encryption (FHE) technology
FHE technology can be considered the 'ultimate artifact' in cryptography! In simple terms, it can perform various computations directly on encrypted data, and the results remain encrypted, eliminating the need to decrypt data at any point, thus effectively protecting privacy and security.
Previous encryption technologies required data to be decrypted during computation, which is akin to opening the door to thieves, making it easy to leak information. But FHE is different; even when multiple organizations collaborate to process data, everyone's data is computed in an encrypted state, and only those with authorized keys can see the final plaintext, essentially applying a 'fully automated insurance lock' to the data.
In Mind Network, FHE technology functions as the 'secure foundation' of the entire system, with all security features built around it. Through a layered architectural design, it implements a protocol ensuring end-to-end encryption from data transmission to reception, and has also developed HTTPZ, a new way of internet transmission that is 'completely distrustful of anyone.'
Specifically, the security layer consists of multiple independent FHE verification modules, equivalent to a group of 'encrypted security guards' monitoring the data 24/7. The consensus layer is a Rollup chain developed jointly by Mind Network, AltLayer, and EigenDA to ensure that everyone can reach consensus during the FHE verification process, avoiding any manipulations. Mind Network's Hub, built on FHE, serves as the 'core base' for AI training and task execution in the AgenticWorld.
Thanks to FHE technology, Mind Network has achieved several impressive results, such as the FHE verification mechanism, FHE consensus algorithm, FHE cross-chain bridging technology, and the world’s first FHE blockchain MindChain. These elements resolve a host of issues related to data security, communication security, computation security, and consensus security in the Agentic AI ecosystem, allowing the entire system to protect privacy while facilitating secure collaboration.
HTTPZ Protocol
HTTPZ is a new generation internet transmission protocol developed by Mind Network in collaboration with ZAMA, fundamentally relying on FHE technology to achieve end-to-end encryption of data from sending to receiving, making it a '360-degree encryption bodyguard.'
Let's compare traditional HTTP and HTTPS:
· HTTP is like data running naked on the internet, where anyone can peek or even tamper with it, making its security essentially zero;
· HTTPS is like putting a 'transmission coat' on the data, encrypted during transmission, but when reaching the server for processing and storage, the 'coat' must be removed (decrypted), still posing a risk of exposure, akin to 'only preventing thieves on the road, not at home';
· However, what makes HTTPZ remarkable is that it uses FHE technology to wrap data in 'encrypted armor' from start to finish, whether during transmission, storage, or computation, maintaining encryption throughout the process, truly achieving 'data always in armor, no one can see through.'
Additionally, traditional HTTP and HTTPS rely on a 'trust model,' essentially saying 'the server and intermediaries are assumed to be trustworthy,' whereas HTTPZ operates on a 'zero trust' model—no matter who you are, every request and data interaction must undergo strict verification, akin to airport security, ensuring that unauthorized individuals cannot touch the data. This characteristic perfectly aligns with the current trends in blockchain, AI, and quantum computing, as these areas require 'decentralization', 'tamper-proofing', and 'quantum attack resistance.' The outdated HTTP and HTTPS cannot withstand this; only HTTPZ can provide a security umbrella for them.
Four, how is the Mind Network ecosystem?
In AI storage, Mind Network collaborates with projects like IPFS, Arweave, and Greenfield to provide AI data storage services that emphasize privacy and security.
In AI computation, collaborating with io.net to introduce FHE into the io.net distributed computing platform, enhancing product security to address the global GPU shortage.
In AI inference, collaborating with Allora, it realizes encrypted inputs and computations during decentralized AI inference processes, while verifying outputs to establish trust.
In AI security, collaborating with Swarms to launch a decentralized enterprise-level AI computing security system, Swarms Shield, to ensure secure communication and computation among multiple Agentic AIs.
Mind Network has also collaborated with the next-generation TEE infrastructure Phala Network, decentralized ZK-RaaS network Lumoz, modular identity and data layer CARV for gaming and AI, and decentralized AI underlying protocol KIP Protocol, combining TEE, ZK, and other technologies to leverage the advantages of Mind Network’s FHE Hub consensus verification and create next-generation secure, zero-trust AI Agent solutions.
When creating a Hub or Agentic AI, users can choose the appropriate open-source proxy framework based on their needs, whether it's popular Web2 frameworks like LangChain / LangGraph, AutoGen, CrewAI, or Web3 ones like Swarms, AI16Z, Virtuals, enhancing AgenticWorld’s collaborative capabilities between Web2 and Web3.
Five, what background information does Mind Network have? What about investment institutions and financing status?
Mind Network completed a $12.5 million financing round, secured $2.5 million in seed funding in 2023, and achieved $10 million in Pre-A financing in 2024, with participation from well-known institutions such as Animoca Brands. It was also selected for Binance Labs' fifth incubation program and the Chainlink BUILD program, collaborating with Zama, Chainlink, etc., to launch technical standards and products such as HTTPZ and MindV Hubs. The latest IDO project from Binance Wallet is Mind Network, backed by Binance Labs.
Six, what does the token economic model of Mind Network look like?
$FHE is the native token of Mind Network, with a total supply of 1 billion tokens and an initial circulation of 24.9%. The distribution is as follows:
· Airdrop: 11.7%, with 7.5% unlocked at TGE, 1% distributed in Binance Wallet activities, and the rest to be released in future airdrops.
· Community: 30%, distributed over 60 months, encouraging user participation.
· Public sale: 5%, fully unlocked at TGE.
· Investors: 20%, 48 months linear unlock, 12 months lock-up period.
· Team: 17%, with a 48-month linear unlock and a 12-month lock-up period.
· Advisors: 1.3%, with a 48-month linear unlock and a 12-month lock-up period.
· Liquidity: 5%, TGE deployment.
· Treasury: 10%, with 1.5% released at TGE, and the rest released linearly over 48 months.
$FHE has a wide range of applications in the ecosystem, enabling staking, activating and running Agentic AI, rewarding ecological contributions, paying service fees, and managing proposals through MindDAO and Hub-based ecosystems.
Seven, why should we pay attention to this project?
1. Technological innovation: Mind Network is the first project to apply FHE technology to 'achieving consensus among various AI assistants' (consensus management). Previous solutions were like a leaky house, where data could easily be peeked at during transmission and processing. It effectively applies a full-process encryption lock to the data—encryption is maintained throughout transmission and computation. To put it bluntly, in sensitive scenarios like financial data processing, even if someone intercepts the data, all they see is a bunch of garbled text, making it impossible to steal genuine information.
Moreover, when a multitude of AI assistants need to collaborate, traditional methods of verifying data are like painstakingly checking each package, which is slow and cumbersome, while FHE technology allows the system to quickly verify encrypted data directly, and enables all participating devices to reach a consensus, dramatically increasing efficiency. The most crucial aspect is that it fundamentally alters the trust mechanism—each participating device only needs to verify whether the encrypted data is compliant, without needing to know who the other party is or what the specific content of the data is, akin to everyone working while wearing masks, ensuring fairness while protecting privacy.
2. Application potential:
In fields such as healthcare, finance, and distributed computing, Mind Network can be described as a 'necessary player' that addresses many practical pain points:
Healthcare: Currently, sharing patient data between hospitals is particularly difficult due to privacy concerns, but with FHE technology, it’s like adding an 'invisible protective shield' to medical data—hospitals can share encrypted patient medical records and genetic data with research institutions without exposing specific information, enabling collaborative research on diseases, accelerating new drug development, and optimizing personalized treatment plans while ensuring patient privacy is thoroughly protected.
Fintech: Previously, when financial institutions collaborated to assess risks, for example, when several banks wanted to look at a company's credit status together, they had to exchange a large amount of sensitive data, which was prone to leaks. Now, with FHE, data can be computed directly on the ciphertext, and only authorized parties can decrypt the results, ensuring efficiency in joint risk control while preventing core data from being exposed. In DeFi (decentralized finance) scenarios, users' account information and fund flows during transactions can also be encrypted, alleviating concerns about being monitored.
3. Ecosystem development: The ecosystem is continuously evolving, collaborating with numerous projects, covering all aspects of AI, and supporting various open-source proxy frameworks for both Web2 and Web3, demonstrating strong collaborative capabilities. 4. Market performance: The $FHE token has performed well since its launch; after going live on Binance Alpha, its price surged 36.33% within 24 hours, and it directly broke through new highs with a rise exceeding 200%, indicating that the market is quite favorable towards this project.
Mind Network possesses robust technology with numerous applications, strong partners in its circle, and with the rising token price, anyone with insight can see the project's significant potential.
If you are usually concerned about how AI and blockchain can be integrated, how data privacy can be protected, or if you want to find opportunities in emerging technologies, this project is truly worth your time to study and get involved early.
Let's watch it build a safe, efficient, and unobstructed AI future together, and perhaps we can share in the benefits! Stay tuned for more updates! (Note: All information images are sourced from official sources)
