Not all data is meant for human eyes, and in cybersecurity, understanding the distinction between human-readable and non-human-readable data formats is vital for applying the right protection. This episode explains how human-readable data—like documents, emails, or spreadsheets—poses a higher risk of exposure and misuse when accessed by unauthorized users, and must often be protected with strong access controls, encryption, and data loss prevention (DLP) tools. Non-human-readable data includes binary files, machine logs, compiled code, and metadata—often overlooked, but still sensitive or exploitable. Attackers frequently extract value from these sources through reverse engineering, pattern analysis, or system fingerprinting. We explore how to detect, classify, and secure both types using file inspection, content-aware DLP, and proper data handling procedures. The visibility and risk associated with data depends not just on its content, but also on its audience and context.