Most Security Operations Centers Report Limited Value from AI Adoption

LONDON (Reuters) - Only 10% of global Security Operations Centers report excellent value from artificial intelligence adoption, a 2026 survey by SOC-CMM reveals, as fragmented tools and weak governance hinder security outcomes.

The data, collected from roughly 200 SOCs across regions, sectors, and delivery models, indicates that structural maturity gaps in process and people domains prevent effective integration. While AI deployment has become a priority for cybersecurity teams, the majority of organizations struggle to realize tangible benefits from their investments.

Security Operations Centers and AI security vendors are facing a disconnect between technology deployment and operational effectiveness. The survey highlights that fragmented AI tools, a lack of standardized best practices, and insufficient governance frameworks are the primary barriers to success. Organizations are investing heavily in AI capabilities, yet the complexity of integrating these tools into existing workflows remains a significant challenge.

The findings suggest that the issue is not merely technological but rooted in organizational maturity. Many SOCs lack the necessary processes and skilled personnel to manage AI-driven security operations effectively. This maturity gap limits the ability of security teams to leverage AI for threat detection, response, and overall risk management.

Industry experts note that without addressing these foundational issues, AI adoption may continue to deliver limited returns. The survey underscores the need for a more holistic approach to AI integration, focusing on governance, process optimization, and workforce development alongside technological upgrades.

As the cybersecurity landscape evolves, the pressure on SOCs to adopt advanced technologies intensifies. However, the current data indicates that a significant portion of the industry is not yet equipped to handle the complexities of AI-driven security operations. The question remains whether organizations can bridge the maturity gap quickly enough to keep pace with emerging threats.

The survey results point to a critical juncture for the security industry. While AI offers transformative potential, its value is currently constrained by operational and structural limitations. Organizations must address these challenges to unlock the full potential of AI in cybersecurity.

Developments in AI security governance and best practices are expected to shape the future of SOC operations. The industry will need to determine how to standardize approaches and improve maturity levels to ensure that AI investments translate into real security outcomes. Until then, the gap between AI adoption and effective security remains a pressing concern for global organizations.