Adrian Johnson
TLDR:
CardinalOps, an AI-powered security engineering startup, found that enterprise SIEM tools have giant blind spots, compromising cyber threat detection based on their Fourth Annual Report on the State of SIEM Detection Risk. The report analyzed real-world data from production SIEM instances, revealing that these tools only cover 19% of the MITRE ATT&CK techniques, despite having access to data that could potentially cover up to 87% of all attack techniques. The report highlights the gap between expected and actual coverage, as well as the need for specialized tools to address unique cybersecurity challenges.
Article:
CardinalOps, an AI-powered security engineering startup, recently released their Fourth Annual Report on the State of SIEM Detection Risk. The report revealed that enterprise Security Information and Event Management (SIEM) tools are underperforming in cyber threat detection, due to their giant blind spots.
The study analyzed real-world data from production SIEM instances, including popular tools such as IBM QRadar, Sumo Logic, Microsoft Sentinel, and Splunk. The findings showed that these SIEM tools only cover 19% of the MITRE ATT&CK techniques, leaving a significant gap in threat detection coverage.
According to Yair Manor, CTO and Co-Founder at CardinalOps, while the data collected by SIEM tools could potentially cover up to 87% of all attack techniques, enterprises have been struggling to use this data effectively to improve threat detection. This highlights the difficulty organizations face in building and maintaining effective detection coverage.
The report also emphasized the need for specialized tools, such as SaaS Security Posture Management and Cloud Security Posture Management, to address the unique cybersecurity challenges of different environments. Customization is crucial for maximizing the effectiveness of SIEM tools and improving overall cybersecurity posture.
Overall, the CardinalOps report sheds light on the critical issue of underperforming enterprise SIEM tools in cyber threat detection, and advocates for a more specialized and customized approach to maximize detection coverage and enhance cybersecurity practices.
