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How Machine Learning Detects Cyber Threats: A Technical Breakdown
Machine learning models fail when training data lacks the specific attack patterns they face in production, creating blind spots that rule-based systems miss entirely.
Everything Sandbox Gazette has reported about machine learning in cybersecurity: 2 stories, newest first. Part of our AI coverage.

Machine learning models fail when training data lacks the specific attack patterns they face in production, creating blind spots that rule-based systems miss entirely.

Models optimize for statistical patterns, not truth, creating blind spots that attackers exploit through data poisoning and prompt injection.