Indeed, the threat landscape continued to intensify, driven by a growth in attacks and the increasing sophistication of techniques used by perpetrators, adding additional pressures into a profession that – in the eyes of many – is nearing breaking point. Reports that a record US$40 million ransomware payment was paid by a US insurance company after its network was brought down and data stolen, merely scratches the surface of the cybercriminal events of last year. They can provide the building blocks for automated detection and response capabilities that can identify and even predict when and where attacks might be happening, removing the need for security teams to scramble in attempts to get eyeballs on everything and put out multiple flames at once. AI and Machine Learning can unravel this complex web of tools, showing which solutions offer sustained value and which ones are rarely used, if ever, helping firms to minimise their operational overheads. Simply put, they can offer complete visibility of an organisation's network, provide an appropriate response for any given threat, as well as unlock a stream of benefits relating to cost, efficiencies and operations.