An organization wants to prevent an AI model from being retrained with a hidden trigger that causes it to misclassify specific inputs — a technique known as a backdoor attack. Which control is most directly effective?

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A. Rigorous validation and integrity verification of the model supply chain, including third-party models and fine-tuning datasets, before deployment. Backdoor attacks are injected during training or fine-tuning; the most direct mitigation is supply chain integrity — verifying the provenance and integrity of pre-trained models, third-party datasets, and fine-tuning pipelines before production deployment. The SecAI+ objectives cover mitigating adversarial risks to AI models and data pipelines. Network encryption protects data in transit but cannot remove a backdoor already embedded in model weights. Output filtering treats symptoms without removing the root cause.

An organization wants to prevent an AI model from being retrained with a hidden trigger that causes it to misclassify specific inputs — a technique known as a backdoor attack. Which control is most directly effective?

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