93% of security operations centers employing AI and machine learning tools to detect advanced threats
Micro Focus, in partnership with CyberEdge Group, published the 2020 State of Security Operations report, which reveals that security operations centers (SOCs) across the globe are most concerned with advanced threat detection and are increasingly looking to artificial intelligence (AI) and machine learning (ML) technologies to proactively safeguard the enterprise. The report's findings show that over 93% of respondents employ AI and ML technologies with the leading goal of improving advanced threat detection capabilities, and that over 89% of respondents expect to use or acquire a Security Orchestration and Automated Response (SOAR) tool within the next 12 months. These findings indicate that as SOCs continue to mature, they will deploy next-gen tools and capabilities at an unprecedented rate to address gaps in security.
"The odds are stacked against today's SOCs: more data, more sophisticated attacks, and larger surface areas to monitor. However, when properly implemented, AI technologies such as unsupervised machine learning, are helping to fuel next-generation security operations, as evidenced by this year's report," said Stephan Jou, CTO Interset at Micro Focus. "We're observing more and more enterprises discovering that AI and ML can be remarkably effective and augment advanced threat detection and response capabilities, thereby accelerating the ability of SecOps teams to better protect the enterprise."