CISSP Practice Exam 2026 – Complete Prep Guide

Crossover Error Rate (CER) is an important metric in the field of security, specifically related to biometric systems and similar decision-making processes. It represents the point at which the false acceptance rate (FAR) and the false rejection rate (FRR) are equal. This metric is crucial because it provides a single measure to evaluate the performance of a biometric system or authentication mechanism, allowing stakeholders to assess the balance between security and usability.

When the FAR is too high, it means that the system is allowing unauthorized users access, while a high FRR indicates legitimate users are being denied access. The CER serves as an optimal threshold for decision-making, helping organizations achieve a suitable level of security based on their specific needs. Understanding CER is essential for any security professional involved in the development, deployment, or assessment of biometric security systems.

Other options, such as Comprehensive Event Response, Critical Endpoint Risk, and Cumulative Error Rate, do not accurately reflect the concept associated with CER in the context of security metrics. Comprehensive Event Response is more aligned with incident management processes, while Critical Endpoint Risk relates to risk assessments of specific system components, and Cumulative Error Rate lacks the specific relevance and application that Crossover Error Rate has in evaluating biometric systems.