Input telemetry is data collected from user interactions with a device or application, such as keystrokes, mouse movements, clicks, touch events, and sometimes focus changes or command input. It is useful for understanding how people use software, training automation, and detecting suspicious behavior.
In cybersecurity, input telemetry is highly sensitive because it can reveal passwords, internal workflows, and private habits. Attackers may steal it with keyloggers, malicious browser extensions, remote-access tools, or other monitoring malware to capture credentials and session details. Defenders may collect limited input telemetry for fraud detection, incident investigation, or model training, but it should be handled with consent, minimization, encryption, strict retention limits, and tight access controls. Treat it as high-risk data, not harmless UX analytics.