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

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.

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

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.

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

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

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

73% of security leaders are reassessing their SIEM solutions.

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

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

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

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

On average, enterprise SIEMs only have detection coverage for 21% of adversary techniques defined in the MITRE ATT&CK framework. This is a 2% increase in coverage 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.

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

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.