Artificial Intelligence is most effective in cybersecurity with "a human involved", according to the CTO of internet security company ESET. Speaking at the Slovakian cybersecurity company's Virtual World event, ESET CTO Juraj Malcho explored the ways in which AI and Machine Learning are impacting the security field, but also the challenges they present. Malcho highlighted the fact that AI and machine learning can have important applications in cybersecurity, enabling researchers to find the "needle in the haystack" when using AI to analyse samples or attacks, and can be used to rapidly find common traits in different samples of malware and detect different variations of attacks. He explained how ESET was able to detect 7.7 million Emotet attacks, and identify 3 million attacks that had common traits using machine learning. It was also used to help ESET find the first UEFI rootkit "in the wild", which could then be used to built tools to protect customers from this type of attack. However, Malcho highlighted that AI and machine learning have their limitations in a cybersecurity context, and is wary of companies that "claim they have magic solutions."