How does AI identify fraudulent activity in decentralized exchanges to secure digital transactions?
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AI identifies fraudulent activity in decentralized exchanges to secure digital transactions through pattern recognition and anomaly detection. By analyzing vast amounts of data such as transaction history, user behavior, and market trends, AI can detect irregular patterns that may indicate fraudulent activities. AI can also utilize machine learning algorithms to continuously learn and adapt to new fraud patterns, enhancing its ability to prevent and detect fraudulent activities in real time.