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

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Data integrity

Data integrity

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

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Data integrity

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Data integrity is about protecting information from unauthorized alteration throughout its entire lifecycle. It ensures that data remains consistent, accurate, and reliable from the moment it is collected until it is retired. Maintaining integrity is especially important in AI systems, where even small changes to the data can have large effects on model behavior. For example, a single corrupted entry in a financial data set could lead a fraud detection model to misclassify transactions. To safeguard integrity, organizations use digital signatures, cryptographic hashes, and version control systems that track every modification. Access controls also play a major role, limiting who can view or edit data, and recorded when those changes occur. Integrity protection is not only about limiting the impact of cyber attacks, but also about accountability. It helps identify when and how data has been changed, whether through human error, system faults, or deliberate tampering. These safeguards…

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