“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.”
As the volume of threats rise, the report finds that 90 percent of organizations are relying on the MITRE ATT&K framework as a must-use tool for understanding attack techniques, and that the most common reason for relying on the knowledge base of adversary tactics is for detecting advanced threats. Further, the scale of technology needed to secure today’s digital assets means SOC teams are relying more heavily on tools to effectively do their jobs. With so many responsibilities, the report found that SecOps teams are using numerous tools to help secure critical information, with organizations widely using 11 common types of security operations tools and with each tool expected to exceed 80% adoption in 2021.
Key observations include:
The 2020 State of Security Operations report takes a close look at the front lines of IT security: security operations, and provides a deep analysis of the most pressing industry challenges and the technologies being embraced to solve for those challenges. This survey specifically references the opinions of IT security professionals who find and mitigate vulnerabilities, detect threats, perform security investigations, respond to incidents, and do countless other operational tasks on a daily basis.