CSO Online identified four gaps that prevent artificial intelligence from generating operational gains in corporate security operations centers. The problem is structural: even with growing investment in AI-powered security software, SOCs cannot turn the technology into measurable improvement.
The four gaps are: lack of integration with tools analysts already use, workflows not redesigned to include AI, training data that does not reflect the company's real environment, and low analyst trust in machine-generated alerts.
The article highlights that AI can make security teams faster, but only if it fits into existing processes. Without that fit, alerts are ignored or generate rework, canceling out any speed gain.
For SOC operators, the news confirms the problem is not the model, it is the fit. An AI tool that does not talk to the existing SIEM, SOAR, or threat intelligence feed adds noise rather than help.
The paper believes the path forward is not to buy more AI, but first to map the current workflow, identify where automation truly reduces cognitive load, and only then integrate the tool. Analyst trust is built with consistency, not model power.