Survey Finds Security Teams Betting on Machine Learning

A global survey conducted by Enterprise Strategy Group (ESG) of 456 cybersecurity and IT professionals on behalf of Oracle and KPMG has found organizations are being overwhelmed by data and are hoping to get some help via machine learning. According to the survey results, fewer than one-third of respondents can analyze more than 60 percent of the security event and telemetry data they collect. Only 12 percent can analyze more than 75 percent of the data they collect. More than half of survey respondents (53 percent) said they plan or have started to invest in machine learning technologies to help analyze that data. Top use cases for machine learning within the context of cybersecurity include embedding these technologies within a security analytics and operations platform (23 percent), within an identity and access management solution (17 percent), as part of larger cloud security strategy (16 percent) or within a managed security service (15 percent).