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Human-Computer Decision Systems

Security decision systems often use a combination of human and automated analysis

Software Engineering Institute


Security decision systems aim to distinguish malicious activity; from benign and often use a combination of human expert and automated analysis; including machine learning (ML). Systems using only human experts scale badly; pure ML systems are susceptible to structured attack by adversaries and; in most cases; have unsatisfactory performance; on their own.