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Nigerian technology businesses face a critical challenge in AI governance: data poisoning attacks that embed harmful patterns during model training, before traditional guardrails can detect them. This analysis examines how adversarial manipulation of training data creates legal, cybersecurity, and procurement risks that existing controls may miss. Understanding where poisoning enters the AI pipeline and how Nigerian law applies to these threats is essential for organizations deploying AI systems.