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Artificial Intelligence (AI) can be used to improve credit scoring in a number of ways. Credit scoring is the process of assessing a borrower’s creditworthiness based on their credit history, financial data and other relevant factors. Here are some ways AI can improve credit scoring:Better data analysisAI can analyze large
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TransUnion, one of the three major United States credit reporting agencies, announced on April 20 that it would begin supplying credit scoring to public blockchain networks. Off-chain credit data have not previously been available to Web3 and decentralized finance (DeFi) applications.In the new TransUnion service, credit information will be made available
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With the proposed Moody’s stablecoin scoring system, the shift to the stablecoin regulations can be fast-tracked.Moody’s, the credit rating arm of Moody’s Corp (NYSE: MCO) is developing a new stablecoin scoring system that will see it classify as many as 20 stablecoins in the digital currency ecosystem. According to a
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Credit rating firm Moody's is allegedly developing a scoring system for stablecoins, with analysis for up to 20 digital assets, Bloomberg reported on Jan. 26, citing unnamed sources. The system, which appears to be in the early stages of development, will evaluate and rate the quality of the attestations of stablecoin reserves,
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The move comes as the quality of stablecoin reserves continues to receive scrutiny. Original Source
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“The biggest thing is being able to get the protocol to mainnet, but do it in a safe manner,” RociFi Labs CEO Christopher Brookins told CoinDesk in an interview. “We’re allocating the appropriate resources to make sure we’re not just spinning up a new protocol as fast as possible, which
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A set of critical safeguarding rules are common to any cryptocurrency transaction, wherever the jurisdiction: tracking blockchain transactions to identify suspicious entities, updating policies and aligning with the latest regulatory requirements, customizing monitoring mechanisms to identify specific risks, conducting consistent risk assessment exercises and studying historical transaction data to identify
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