How can AI detect cyber risks in encrypted peer-to-peer networks while maintaining privacy?
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How can AI detect cyber risks in encrypted peer-to-peer networks while maintaining privacy?
AI can detect cyber risks in encrypted peer-to-peer networks while maintaining privacy by implementing techniques like homomorphic encryption, which allows computations to be performed on encrypted data without revealing sensitive information. Additionally, AI algorithms can be trained on encrypted data using secure multiparty computation methods to detect patterns and anomalies associated with cyber risks. By utilizing privacy-preserving techniques and ensuring data anonymization, AI can effectively analyze encrypted network traffic to identify potential threats without compromising user privacy.