How does Machine Learning (ML) differ from traditional cybersecurity methods in detecting new threats?

ML is more time-consuming than traditional methods
ML relies on patterns and self-learning to adapt to new threats
Traditional methods focus on manual analysis
Traditional methods use signature-based detection

Machine Learning (ML) excels in detecting new threats by analyzing patterns and adapting over time. Unlike traditional methods that rely on predefined signatures, ML leverages self-learning algorithms to identify emerging threats based on behavior and patterns. Understanding this distinction is crucial for implementing effective threat detection mechanisms in cybersecurity.__________________________________________________

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