This white paper introduces the fundamentals of AI and machine learning, comparing human and machine learning processes through input, processing, and output. It explains how neural networks mimic brain function and how deep learning enables complex tasks like image and speech recognition. The paper outlines the history of AI, emphasizing lessons from past failures and breakthroughs. It concludes with applications in cybersecurity, focusing on security analytics, anomaly detection, and optimization techniques for predictive and responsive threat mitigation in complex digital environments.

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