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Economic analysis reveals the costs of data poisoning in AI systems, suggesting optimal prevention strategies.
Data poisoning represents one of the most insidious and economically devastating threats to enterprise AI systems. This article provides a comprehensive economic analysis of data poisoning attacks, examining the full cost spectrum from direct remediation expenses to long-term strategic impacts, with a framework for quantifying risks and calculating optimal prevention investments.
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Oleh Ivchenko (2026) studied this question.
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