This use case explains the cybersecurity risks of dark data, which includes digital information stored but not actively analyzed, such as old logs, emails, unused databases, and document versions. Dark data increases storage costs, creates compliance challenges under regulations like GDPR, and can expose sensitive information to breaches. The report notes that SOCs often suffer from tool sprawl, with 20–50 tools in use, yet only a small portion of data is understandable to security systems. Dark data can hide serious threats such as undetected fraud, command-and-control activity, or dormant malware, contributing to breaches averaging $3.5 million. The document highlights obstacles to recovery, including data volume and lack of skills, and recommends AI, machine learning, and large language

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