Digital pathology is the use of scanned microscope slides and software to review, store, and analyze tissue samples. Instead of examining only through an eyepiece, pathologists work with whole-slide images that can be zoomed, shared, searched, and processed by analytical tools. This makes pathology easier to scale and opens the door to AI-assisted review, biomarker discovery, and faster case triage.
From a cyber security perspective, digital pathology systems are high-value targets because they hold sensitive medical data and depend on scanners, image servers, and laboratory software working together. Ransomware can lock image archives and interrupt diagnosis. Tampering with slide images or metadata can affect clinical decisions, so integrity checks, audit logs, access control, segmentation, and backups matter. In secure deployments, software validation also helps ensure that image analysis results remain trustworthy across scanners, labs, and updates.