In a nutshell: While billions flow into AI-SOC platforms and agent-based tools, only 10% of SOCs report self-assessed “excellent” results — a sign of lacking maturity and unmet expectations.
Investments in AI-driven security operations are exploding, yet actual value creation remains limited for most Security Operations Centers. An overview of the gap between hype and reality in the next wave of AI-SOC implementations.
AI in security operations has evolved from marketing buzzword to budget priority within 18 months. The category has progressed from the interesting stage to the inevitable stage: billions are flowing into AI-driven security operations platforms, agent-based SOC tools, and AI co-pilots integrated at every level of the security stack. SOCs are currently procuring, implementing, and activating AI capabilities at unprecedented speed.
This adoption trend, however, stands in stark contrast to measured value realization: only 10% of SOCs report achieving “excellent” value from their AI investments. This indicates a significant gap between the pace of technology adoption and actual operational benefit. The reasons often lie in unclear expectations, poorly defined use cases, and lack of integration into existing SOC processes.
For the second wave of AI-SOC implementations, the industry will need to define what concrete results — whether throughput improvement, false-positive reduction, time savings, or detection accuracy — are actually achievable. CISOs should establish clear metrics for future initiatives and conduct pilot-based validations before rolling out implementations enterprise-wide.
Source: thehackernews.com · Published June 5, 2026
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