Signal interpretation is the process of assigning meaning to observed data, alerts, or activity. In security operations, the “signal” may be a log entry, an endpoint event, network traffic, or a user behavior change. Interpretation is never just reading the raw data; it requires context such as normal baselines, asset criticality, timing, and known attacker techniques.
This matters because incomplete context can turn noise into a false alarm or hide a real intrusion. In practice, defenders use signal interpretation when triaging SIEM and EDR alerts, deciding whether repeated login failures are a brute-force attack, or distinguishing suspicious PowerShell use from routine administration. Attackers also exploit weak interpretation by blending malicious activity into normal-looking behavior, flooding tools with noise, or living off the land so their actions resemble legitimate operations. Good defenses improve signal interpretation with correlation, enrichment, and human review.