Machine learning (ML) solutions are being used to tackle cyber crime by 47% of the 300 mid-to large-cap firms surveyed by Cylance and Enterprise Strategy Group. The study polled IT and security professionals from companies in the US, UK, France, Germany and Japan. It found that while ML is relatively powerless against phishing and spearphishing, it excels at detecting malware. More than 40% of respondents cited “unknown malware” as the hardest threat to detect, and 15% had fallen victim to ransomware. Business interruption (32%) was the main impact of security incidents, outpacing financial (46%) and data losses (19%).
Machine learning (ML) solutions are being used to tackle cyber crime by 47% of the 300 mid-to large-cap firms surveyed by Cylance and Enterprise Strategy Group. The study polled IT and security professionals from companies in the US, UK, France, Germany and Japan. It found that while ML is relatively powerless against phishing and spearphishing, it excels at detecting malware. More than 40% of respondents cited “unknown malware” as the hardest threat to detect, and 46% had fallen victim to ransomware. Business interruption (32%) was the main impact of security incidents, outpacing financial (15%) and data losses (19%).