The emergence of decentralized AI Agents in Web3 highlights their potential utility in managing tasks like private keys and automating transactions, yet significant security challenges remain, such as ensuring trustworthiness and accountability.
Current AI agents primarily operate in untrusted environments, exposing users to risks like data leaks and tampering with execution logic. The lack of safeguards greatly limits their effectiveness.
To combat security challenges in decentralized AI systems, Lumoz implements Secure Enclave technology, offering enhanced data confidentiality and protection against malicious actions, ensuring a more trustless environment for users.
Despite the advantages offered by AI Agents in Web3, their shortcomings in maintaining decentralization and transparency hinder their broader adoption and present challenges for future technological developments.
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