VIEW POINT

Where are we now?

AI has been prevalent in the security sector for a while now, but at varying complexities. Typical AI solutions provide easy and automatic access to data, information and reports. The key development revolutionising the use of AI is Machine Learning (ML). ML processes the analysed data and learns to improve the process every time or draw conclusions from it, such as:

● Identifying irregularities and risks;

● Identifying events that may be precursors to potential incidents;

● Provide insight to improve procedures and efficiency;

● Reduce errors;

● Collate detailed reports from disparate information sources; and

● Remove repetitive and bureaucratic tasks that allow colleagues to focus more.

Where do we need to go next?

AI is building a vast data mine. AI and ML will predict incidents before they occur, and automate processes to prevent incidents from occurring; for example, preventing a door being opened if a potential tailgater is present. Ultimately, as more facilities feed data into centralised systems, the fast learning and speedy response of the ML will see incidents prevented, crime reduced by deterring criminals, and