None
EN
The SOC’s AI maturity model
['.Wp-Block-Co-Authors-Plus-Coauthors.Is-Layout-Flow', 'Class', 'Wp-Block-Co-Authors-Plus', 'Display Inline', '.Wp-Block-Co-Authors-Plus-Avatar', 'Where Img', 'Height Auto Max-Width', 'Vertical-Align Bottom .Wp-Block-Co-Authors-Plus-Coauthors.Is-Layout-Flow .Wp-Block-Co-Authors-Plus-Avatar', 'Vertical-Align Middle .Wp-Block-Co-Authors-Plus-Avatar Is .Alignleft .Alignright', 'Display Table .Wp-Block-Co-Authors-Plus-Avatar.Aligncenter Display Table Margin-Inline Auto']
How I use AI to boost productivity and revenue | CIO
The path to next-generation AI Security Operations Centers (SOCs), where AI works hand-in-hand with human analysts, is paved with ambitious goals.
For many SOCs, that evidence layer is network data.
Network data tells the most complete story of an environment, but it’s voluminous and easy to misinterpret without context.
The bottom lineThe real constraint on SOC AI maturity is trust, and trust depends on reliable data that makes outputs traceable and evidence inspectable.
Corelight’s structured network evidence preserves protocol-level context to produce a more complete dataset for investigation and AI.