PROMO
by BSCN
February 22, 2024
The FHE-enabled data solution powered by Zama aims to empower computation over encrypted data on decentralized platforms.
Mind Network is excited to announce a transformative partnership with Zama, the frontrunner in cryptographic resources for Web3, marking a significant leap forward in a new era for end-to end encryption.
Zama's mission is to bring better security and privacy to the digital world by making cryptographic solutions widely accessible. They develop advanced cryptographic systems, focusing on the 'Holy Grail of Cryptography,' fully homomorphic encryption (FHE), which enables computation on encrypted data without the need for decryption. This groundbreaking approach ensures data privacy and security, opening up new possibilities for secure data analysis, cloud computing, and beyond, without compromising user confidentiality. Zama's technology aims to empower businesses and individuals with tools to protect sensitive information in an increasingly data-driven world.
MindNetwork is one of the first tokenized startups to implement fully homomorphic encryption within Web3. The platform is designed as a Zero Trust Network and brings Zero Trust principles to on-chain data security, offering decentralized FHE computation and solutions. This is achieved while adhering to end to end encryption and computation for on-chain data to guarantee individual data ownership.
At its core, MindNetwork offers decentralized FHE computation on both the demand and supply sides. For supply, Mind Network offers decentralized and scalable FHE computation.
In order to kickstart demand within the market, Mind Network brings the following products:
1.) MindSAP: An FHE stealth address protocol which facilitates compliant and secure value transfers for RWA and regulated investors.
2.) MindLake: An FHE enabled data solution for AI, DePin, and Gaming use cases on top of Arweave, IPFS, and Greenfield.
3.) MindRollup: An FHE staking rollup partnering with Altlayer and EigenLayer.
4.) MindNode: decentralized nodes execute FHE computation through a marketplace and gateway.
Mind Network and Zama believe that FHE is the new standard for on-chain data security and, as such, will eventually permeate all of Web3. This initial product offering is how Mind Network is helping the industry access FHE in the most readily available use cases. Many more use cases and dApp adoption will follow in the coming months.
Mind Network's achievements, including winning 1st Place in the ETH Singapore Hackathon and participation in prestigious programs like the Ethereum Fellowship Program, Binance Incubation Camp, Chainlink BUILD Program, and Consensys Startup Program, underscore its significant contributions to the field.
This collaboration will utilize Zama's advanced FHE technologies within Mind Network's product suite, starting with its MindLake project, a pioneering data storage rollup designed to empower computation over encrypted data on decentralized platforms.
The partnership between Zama and Mind Network heralds a new era for Web3, ensuring user data remains encrypted and private, even during processing. This partnership not only secures data against potential quantum computing threats but also opens up new avenues for secure, decentralized computation, setting a new benchmark for privacy and security.
For more insights and updates on Mind Network’s innovations, visit our website and socials:
Website | Twitter | Medium | YouTube | Github | Gitbook
Discord | Telegram
Disclaimer: This is a paid press release. BSC.News does not endorse and is not responsible for or liable for any content, accuracy, quality, advertising, products, or other materials on this page. The project team has purchased this advertisement article for $360. Readers should do their own research before taking any actions related to the company. BSC.News is not responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods, or services mentioned in the press release.
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