Analyzing security process data

Data analysis is one of the core activities used to establish a security violation as well as control effectiveness. Two parameters are used in this industry to indicate the effectiveness of control from the perspective of identified security violations. One parameter is called the false positive rate and the other is the false negative rate. False positive flags an event as a security violation when it is not. On the other hand, false negative fails to flag a security violation.

False positives

A security process or tool may flag an event as a security violation while the event is not. For example, a fingerprint scanner used in identity and access management may reject a legitimate entity after scanning. This may be due to incorrect or insufficient samples of the entity's finger prints. Such a control action is called false positive action.

False negatives

When a security process or a tool allows an illegitimate event to pass through without raising a security violation, then it is called false negative. For example, an unauthorized entity is allowed to access a resource that requires authorization.

The effectiveness of a security control or a process can also be determined by false positive and false negative rates. Generally, such data will provide inputs to adjust the sensitivity settings of a security control.

The effectiveness of a security control

A security control is considered to be effective when the false positive and false negative rates are minimum. This implies that the security control is performing as per the requirement of the security policy.

The effectiveness of a security control can be ascertained from audits. Periodical internal or third-party audits provide the verification and validation of the control implementation and performance.

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