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

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Data types

Data types

AI systems depend on different types of data, structured, unstructured, and semi-structured. Each type of data plays a vital role in how an AI model learns, performs, and stays secure. Structured data is neatly organized, often in rows and columns like those in spreadsheets or relational databases. Every field has a clear definition, such as a date, a number, or a name. Because structured data is so well-defined and easy to search, it often becomes a high-value target for attackers. Protecting it requires strong access management, encryption both in transit and at rest, regular audits, and integrity checks to detect unauthorized changes. Unstructured data is much more flexible, but also much harder to manage. It includes text documents, social media posts, audio files, images, and videos. This data lacks a predefined format, which makes it challenging to categorize or secure. Without proper discovery and classification, unstructured data can easily become a hiding place for sensitive…

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