Fhenix Joins Forces with Privasea to Advance Secure AI App Development

Fhenix and Privasea Join Forces to Enhance Secure AI App Development

Fhenix, a leading layer 2 platform utilizing FHE cryptography to empower Ethereum developers, has announced a new partnership. The platform is teaming up with Privasea, a key player in FHEML-centered AI+DePIN computing, to advance secure AI application development using FHE technology. The collaboration details have been shared in a comprehensive blog post by the company.

Addressing the Growing Need for Data Privacy and Digital Sovereignty

With a significant amount of data moving online regularly, the importance of technologies that prioritize data privacy has become more evident. The rise of artificial intelligence and large language models has further emphasized the need for safeguarding digital sovereignty. These models rely on vast amounts of data for training purposes.

Utilizing Fully Homomorphic Encryption for AI Security

Fully Homomorphic Encryption stands out as a leading encryption solution for artificial intelligence applications. It enables direct computation on encrypted data, allowing large language models to process extensive data for blind operations without decryption. This ensures a secure and trustworthy relationship between AI systems and users.

Maximizing Expertise and Interoperability for Progress

The collaboration between Privasea and Fhenix aims to leverage the unique expertise and capabilities of both entities. By combining blockchain and AI technologies, the partnership seeks to advance development efforts while continuously enhancing FHE libraries and promoting interoperability between the platforms.

Exploring New Initiatives for Enhanced Security and Performance

The partnership will focus on launching initiatives related to hardware acceleration and expanding the TFHE-rs library of Zama, a core infrastructure component for both companies. Teams from both firms will integrate Privasea’s applications into Fhenix’s L2 infrastructure and explore new mechanisms to support additional homomorphic encryption schemes like CKKS/BGV/BFV, enabling SIMD processing and data packing for improved precision and scalability in computing scenarios.

By utilizing cutting-edge cryptographic technology such as FHE, the partnership between Fhenix and Privasea is poised to unlock a wide range of product possibilities and bring forth innovative use cases, including AI applications.

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