Sensor data is the raw measurements produced by instruments or software sensors, such as network monitors, endpoint agents, motion detectors, or industrial controllers. It may include packet counts, CPU spikes, log events, temperatures, pressure readings, or other telemetry that is later analyzed and interpreted. The value of sensor data depends on how accurately the sensor captures reality and how well the data is labeled, synchronized, and calibrated.
In cyber security, sensor data is the basis for detection and response. Security tools use it to spot anomalies, build baselines, and correlate events across systems. Attackers may try to flood sensors with noise, disable them, spoof readings, or operate below their visibility threshold. Defenders rely on multiple sensors and cross-checking to reduce blind spots and distinguish real compromise from false alarms. Good sensor data does not prove an attack by itself, but it gives analysts the evidence needed to investigate, verify, and respond.