Odaily Planet Daily reports that Adam from Greeks.live Research posted on X that European and U.S. institutions prefer to store 99% of their funds in cold wallets—a strategy previously adopted by Deribit. While this approach sacrifices some fund utilization efficiency, particularly for large sums, it significantly enhances security. Adam also noted that Coinbase currently uses machine learning to assess the risk of blockchain addresses and alerts users when appropriate, calling it a strong example of AI application; he believes blockchain should accelerate the adoption of AI technologies in the field of security.
Coinbase Uses Machine Learning for Blockchain Address Risk Assessment
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Summary
Blockchain news reports that Coinbase is now using machine learning to analyze blockchain address risks, as noted by Greeks.live researcher Adam on X. He highlighted that Western institutions typically store 99% of funds in cold wallets—a method also used by Deribit, which prioritizes security but reduces capital efficiency. Adam praised Coinbase’s approach as a strong example of AI in security and called for blockchain upgrades to embrace AI more broadly.
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