Organizations relying solely on generative AI for cybersecurity face significant limitations, as it struggles with deterministic tasks and high-volume data analysis. This highlights the need for a more integrated approach that combines traditional machine learning, statistics, and GenAI to effectively manage modern security challenges. As a result, tech professionals must prioritize data quality and context over model complexity to enhance risk assessment and workflow automation.
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Ali NematiWritten by Ali
