AI Security issues attract follow, fully homomorphic encryption becomes the solution

With the rapid development of artificial intelligence technology, the emergence of advanced AI systems like Manus has sparked deep reflection within the industry regarding AI security issues. Manus has demonstrated exceptional performance beyond its peer large models in the GAIA benchmark test, capable of independently completing complex tasks such as multinational business negotiations. However, this high level of intelligence also brings potential security risks.

! Manus brings the dawn of AGI, AI security is also worth pondering

The development of AI faces the dilemma of balancing efficiency and security. The closer a single intelligence is to AGI (Artificial General Intelligence), the higher the risk of black-box decision-making. However, although multi-agent collaboration can spread risks, it may affect key decisions due to communication delays. The evolution of Manus has inadvertently amplified the inherent security risks of AI, including data privacy breaches, algorithmic bias, and adversarial attacks.

To address these challenges, fully homomorphic encryption (FHE) technology has become a powerful tool for solving security issues in the AI era. FHE allows computations to be performed on encrypted data without the need to decrypt it, enabling the processing of sensitive information. At the data level, all information input by users can be processed in an encrypted state, preventing the leakage of raw data. At the algorithm level, FHE's implementation of "encrypted model training" ensures that even developers cannot glimpse the decision-making path of the AI. At the collaborative level, communication between multiple agents can utilize threshold encryption, enhancing the overall security of the system.

The Web3 field has always focused on security issues, giving rise to various encryption methods. In addition to fully homomorphic encryption (FHE), there are also zero trust security models and decentralized identities (DID). However, compared to other encryption methods, FHE, as a newly emerged technology, is considered key to solving AI Security problems.

Although Web3 security technology may not have a direct connection with ordinary users, its impact is profound. In today's rapidly developing AI landscape, building a robust security defense system has become particularly important. Fully Homomorphic Encryption (FHE) not only addresses the current security challenges faced by AI but also paves the way for a more powerful AI era in the future. As AI approaches human intelligence, adopting advanced encryption technologies to protect data and system security will become an inevitable trend.