From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Data encryption

Data encryption

From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Data encryption

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Encryption is one of the most important defenses for protecting information in AI systems. It ensures that even if data is intercepted or stolen, it cannot be read without the proper decryption keys. Depending on the risk, encryption protects data in three states, at rest, in transit, and in use. Each state plays a key role in keeping sensitive information secure throughout the AI lifecycle. Data at rest refers to stored data. Encrypting stored data keeps it safe even if physical drives are lost or stolen. With regards to AI systems, common types of data at rest that should be encrypted include training data sets, model artifacts, feature stores, and system logs. Training data often contains personal information, so it should be encrypted at the disk or file level and protected by strict access controls. Model files also need need encryption because they represent valuable intellectual property. Feature stores and vector databases may hold embeddings that can reveal original data if…

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