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How to Integrate AI into Modern SOC Workflows
Tuesday, December 30, 2025
What
SOCs are adopting AI without a clear strategy for operational integration, leading to informal use and mixed reliability. This matters because it prevents AI from improving SOC capability, maturity, and staff satisfaction, turning potential into unrealized value.
Where
Security Operations Centers (SOCs) globally.
When
Current and ongoing trend, reinforced by 2025 SANS SOC Survey findings.
Key Factors
- •A significant portion of organizations are experimenting with AI, yet 40 percent of SOCs use AI/ML without making them a defined part of operations, and 42 percent rely on "out of the box" tools with no customization.
- •AI can provide reliable support when applied to narrow, well-bounded tasks with clear review processes, such as detection engineering (e.g., DNS traffic reconstruction) and threat hunting (exploratory analysis).
- •AI assists in software development and analysis by generating draft code, but analysts must interpret and validate all output as the model does not understand the underlying problem.
Takeaways
- →SOCs must adopt an intentional approach to AI integration, clearly defining its role, validation methods, and which mature workflows can benefit from augmentation.
- →Apply AI to specific, well-defined problems with objective evaluation criteria, integrating it with rigorous engineering practices and human oversight for predictable and useful impact.
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