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In today’s technology-driven world, security analytics should represent a beacon of clarity in the fight against cyber threats. Yet ironically, it has become a prime example of confusion, over-promising, and misinterpretation. Buzzwords replace explanations, and hope often substitutes evidence. Businesses chasing the next big security breakthrough find themselves tangled in language that is technical on the surface but empty in substance. The conversation around security analytics is frequently framed by phrases like “artificial intelligence,” “machine learning,” or “behavioral anomaly detection.” While these terms have technical legitimacy, they’re often used vaguely,...