Which security control type is specifically designed to protect the confidentiality and integrity of training data used to build AI models?

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A. Data access controls and encryption for AI training datasets. Protecting training data requires data access controls (restricting who can read or modify training datasets) and encryption at rest to prevent unauthorized access or tampering. The SecAI+ exam objectives under Securing AI Systems include implementing security controls to protect AI systems, data, and models. Network segmentation protects the inference API, not the training data. Rate limiting controls inference request volume, not training data confidentiality.

Which security control type is specifically designed to protect the confidentiality and integrity of training data used to build AI models?

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