How does AI manage data classification in cybersecurity frameworks to streamline threat prioritization?
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AI manages data classification in cybersecurity frameworks by utilizing machine learning algorithms to analyze and categorize large volumes of data into different classes based on attributes such as sensitivity, source, and content. This classification helps in identifying and understanding patterns in data, which in turn enables AI to better assess the severity and nature of potential security threats. By automating the data classification process, AI can expedite threat prioritization by flagging high-risk anomalies and alerts for the cybersecurity team to investigate and respond to promptly.