Generally, biosecurity has been based on subjective compliance of protocols whose compliance could never be completely guaranteed. Today, these theoretical control measures can be complemented by new approaches and technologies that reduce the risk of non-compliance or failure to implement them.
The importance of biosecurity
Biosecurity is defined as the implementation of measures to reduce the risk of introducing and spreading pathogens; measures which improve the health status and reduce the need for antibiotics.
On our team, when we do biosecurity audits we find very similar errors all over the world related to breaches of protocol or deviations that are not acceptable, as there is not usually a head of biosecurity in place to monitor them. In addition, the work of the person in charge is complicated by the lack of objective tools for measuring the controlled parameters. Apart from this type of evaluation, we did not have other ways to objectively measure the level of biosecurity of a company or farm.
Creating a new kind of data
Biosecurity is characterized by being a transversal concept that affects all areas of production and, which adds great complexity to its effective control. Therefore, any system that helps us to monitor it in an objective, quantifiable, and automatic way is very helpful (Figure 1).

Subjective monitoring encompasses the classic approach that has been used up to now, which is based on data collection from farms, surveys, and verification checklists for established tasks. To carry out this control in optimally, we recommend the following two steps:
On the other hand, objective control is based on quantifiable data that can be obtained from digital technologies, capable of accurately recording and storing information related to both external and internal biosecurity.

Although external biosecurity is possibly the most advanced on conventional farms, there is little data available. To address that gap, there are two options:
Soon we will see how to objectively monitor internal biosecurity, which has the main objective of preventing a disease already present on the farm from spreading to other areas. We will also see what data is generated and how we can use it.