Processesscanned

Processesscanned is a term used to describe automated techniques for discovering, mapping, and analyzing operational processes by scanning data sources such as system logs, event streams, and workflow definitions. The goal is to produce a live or near-live representation of how work actually flows through an organization, complementing manually documented processes.

Core components include data collection, event correlation, process model extraction, and visualization. Outputs typically include process maps, performance metrics, and bottleneck indicators, along with compliance checks and deviation alerts.

Applications span IT operations, DevOps, business process management, and compliance auditing. The concept is closely related to process mining, but processesscanned emphasizes scalable, automated data scanning across heterogeneous sources and, in many cases, real-time or streaming analysis.

Challenges include data quality and privacy concerns, telemetry overhead, and the risk of misinterpreting noisy data or fragmentary traces. There is no universally adopted standard for what constitutes a processesscanned result, requiring clear scope, data governance, and validation against ground truth.

Origin and usage: the term is informal and appears in vendor literature and academic writing to describe a scanning-centric approach within the broader process discovery landscape. Users should define definitions, data sources, and modeling methods to ensure clarity and comparability.