Privasea, the leading company in AI data security, is excited to unveil the collaboration with Zama, the pioneering open-source cryptography company known for its innovative Fully Homomorphic Encryption. The Partnership embodies a transformative shift in the AI data security sector as Privasea and Zama combination to set the new bar for security in blockchain and AI data protection.
Privasea and Zama Lead the Way in Data Encryption
An increasing concern in today’s digital era, where AI technologies have become widespread, is data security. As one of the founders of advancing machine learning while considering the need to implement secure security measures, Privasea has stood at the forefront by Fully Homomorphic Encryption. Through this technology, as recorded below, Privasea collaborates with Zama to safeguard its AI network and reassure the security of data handled in its platform.
Privasea AI Network is an impressive system meant to ensure end-to-end security in the process of AI calculations. The platform is supported by investment from Binance Labs and Softbank-backed incubator Tanelabs. Through FHE, the platform can perform computations in selected data while fully encrypted and in the absence of the need for decryption.
In contrast, Zama works on making them advanced. They also develop FHE solutions to enable developers to securely encrypt data through blockchain and AI. This startup completed a Series A financing cycle by raising a total of $73 million. The solution is expected to popularize FHE considerably in blockchain and AI.
Zama has technical knowledge that anyone can communicate with. Additionally, the team has constructed a user-friendly complete library collection that benefits novices and professional developers. As a result, they enable encryption that is easy and fast for the first time.
Privasea, Zama Pact to Redefine AI Data Security
The collaboration between Privasea and Zama will constitute a landmark in the arena of AI data protection. The partnership will establish a new applicant in AI data privacy by integrating FHE technology from Zama and Privasea’s AI network.
They will also seek real-world applications of FHE through the development of machine learning encryption while also concentrating on AI by strengthening privacy and security in all domains. Perhaps the most thrilling part of the contract is that the algorithms can be fused. In other words, Privasea and Zama may combine their technologies, resulting in excellent improved secure sharing for either of the firms.
