Only 10% of SOCs Say They’re Getting Excellent Value From AI. Here’s What the Second Wave Has to Deliver
This Hacker News article analyzes the underwhelming adoption of AI within Security Operations Centers (SOCs) based on the SOC-CMM 2026 Maturity Report. Despite significant investment in AI-powered security tools, only a small percentage (10%) of SOCs report receiving excellent value, primarily due to a fragmented approach where AI tools operate in isolation without sharing context. The report highlights a lack of operational maturity, a dominance of ‘taker’ models, and challenges with process handoffs as key contributors to this gap.
The adoption of AI within SOCs has seen a dramatic increase over the past eighteen months, with billions of dollars being invested in AI-powered security solutions. However, a significant portion – approximately 80% – of SOCs are reporting underwhelming outcomes, as evidenced by the SOC-CMM 2026 Maturity Report. The report identifies several key issues driving this underperformance, including a lack of operational maturity, a prevalent ‘taker’ model of deploying off-the-shelf AI tools, and a failure to integrate these tools effectively across the SOC lifecycle. The primary challenge appears to be that AI tools are being implemented as isolated features within existing security products (SIEMs, EDRs, SOAR platforms) without a cohesive strategy for data sharing and workflow integration. This results in analysts being overwhelmed with multiple AI assistants that operate independently, exacerbating existing fragmented workflows rather than streamlining them. The report emphasizes that the process domain – the handoffs between SOC stages – is lagging significantly behind the technology domain, indicating a core issue in how SOCs are structured and operated.