Biometric identification is a 1:N matching process: the system compares a face, fingerprint, iris, or voice sample against a database of stored templates to determine who a person is. This differs from biometric verification, which checks one claimed identity against one enrolled template.
In cyber security, identification matters because it turns a sensor into a search tool over identity data. That increases privacy impact, breach risk, and the value of the template store. If attackers steal templates or enrollment data, they may use them to impersonate users, correlate people across systems, or target a company’s access controls. Defenders reduce exposure by collecting only what is needed, protecting templates with strong access control and encryption, separating enrollment from daily access, adding liveness detection, and keeping fallback methods such as badges or PINs. For high-risk deployments, logging, retention limits, and a DPIA help show the system is narrow, necessary, and well governed.