A biomarker is a measurable biological feature, such as a protein, gene variant, cell pattern, or tissue signal, that helps describe a disease or guide treatment decisions. In digital pathology, biomarkers can be inferred from scanned slides or measured directly with molecular tests. They matter because they turn a tissue sample into actionable data: clinicians can use them to triage cases, choose follow-up assays, and track how a tumor responds to therapy.
In cyber security, biomarker data and the systems that analyze it must be protected like any other high-value clinical asset. Attackers may try to steal sensitive results, alter records, or poison training data in AI pipelines so that biomarker predictions become unreliable. Defenders respond with access control, audit logs, integrity checks, and careful validation across labs and scanners. In practice, a biomarker is not a diagnosis by itself, but a trusted signal inside a larger clinical workflow.