In AI/ML, "detection" is a broad functional concept that refers to automatically identifying the presence, absence, or change of specific patterns, objects, events, or anomalies in data. It underpins many applied systems such as fraud detection, intrusion detection, defect detection in manufacturing, and object detection in images and video. Because it is a generic capability rather than a single product, there is no single vendor, logo, or canonical implementation associated with "Detection" as an entity.
Because "detection" is a generic capability implemented across many products and open-source projects, pricing depends entirely on the specific tool or platform (e.g., per-API-call, per-seat, per-node, or open-source).