68% of enterprise leaders use SIEM integration for visibility of backbone traffic.

Only 51% of security operations leaders say their current SIEM is very effective at reducing mean time to detect and respond to threats.

52% of security operations leaders are very confident their current SIEM can scale to meet future security and cloud operations needs.

90% of security operations leaders say supporting data sources from multi-cloud and hybrid-cloud environments is very or extremely important for their SIEM, highlighting the continued need for data pipeline management.

70% of internal Security Operations Center (SOC) teams reported a skills shortage in Security Information and Event Management (SIEM) data management as of 2025, impacting their operational efficiency.

54% of organizations reported that they already use AI for SIEM data management in 2025.

34% of respondents report a reduction in average incident response time when using AI playbooks.

90% of security leaders cite AI as a key driver in selecting new solutions (SIEM or alternatives).

Concerns around vendor lock-in remain high, with 95% of those evaluating new options citing flexibility as a critical factor.

Even among those confident in their current SIEM, 75% still say they are considering alternative solutions like AI-powered cloud-native solutions.

84% of security teams rate integrated SOAR as important or extremely important.

One-third of respondents say enhancing threat detection and response is their top cybersecurity priority this year.

Nine out of ten respondents still consider the SIEM approach relevant for safeguarding their organisation.

85% of security teams cite out-of-the-box threat intelligence integration as essential to SIEM.

50% of leaders report difficulty aligning legacy SIEM tools with their broader technology stack.

73% of security leaders are reassessing their SIEM solutions.

70% of security leaders say AI shapes their trust in current and future SIEM solutions.

A significant portion of existing SIEM detection rules, 13% on average, are broken. These rules are non-functional and will never trigger. This is a 5% decrease from the 2024 report.

SIEMs now process an average of 259 log types and nearly 24,000 unique log sources, providing more than enough telemetry to detect over 90% of MITRE ATT&CK techniques (an increase of three percent from 2024) – but manual, error-prone detection engineering practices continue to limit actual coverage.

79% of MITRE ATT&CK Techniques used by adversaries are missed by enterprise SIEMs.