Mira is excited to announce a strategic partnership with GoPlus Security to increase the accuracy and reliability of AI-generated responses within the Web3 context. This partnership is expected to increase the credibility of chatbot answers, particularly when users request information about security of the tokens and decentralized applications (dApps).
GoPlus Security made a name for itself by securing over 12 million wallets on over 30 blockchains. It offers various programs that aid in identifying threats in real time, such as SecScan, a service that scans the safety of tokens, or Mufuzz, which determines the decentralized applications. The tools provide vital insight, which is currently being combined with Mira AI infrastructure to guarantee more reliable chatbot generation.
Mira Proposes Verification Layer to Minimize AI Errors
The adoption of Mira’s verification layer into GoPlusSecurity’s web chatbot is one milestone in influencing AI integrity. This layer ensures that different AI models check each other’s answers, and then the final answer is provided to the users. The objective is to reduce misinformation that could occur when the blockchain data is ambiguous or complex, and the traditional chatbot cannot accurately interpret it.
With this mechanism, people will be able to pose security-centric queries, e.g. whether a token is safe to purchase or a game is secure to download, and get answers that are multi-verified on a number of AI models. Such a cross-checking activity minimizes the chance of false or misleading information.
Improving User Security across the Web3 Space.
The partnership provides a new level of reliability for Web3 chatbots since GoPlusSecurity‘s threat detection systems will support the AI verification. This would improve response accuracy and guarantee uniformity with security data across numerous blockchain networks.
The novel system will assist developers and users in decentralized environments by providing a safer and more knowledgeable experience. The combination of the technologies is expected to establish long-term reliability in automated systems that handle crypto-related inquiries.
