How to Evaluate AI SOC Agents: 7 Questions Gartner Says You Should Be Asking
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Gartner's research on AI SOC agents warns that while 70% of large SOCs are expected to pilot these tools by 2028, only 15% will achieve measurable improvements without structured evaluation. The framework covers seven key questions security leaders should ask vendors: whether the tool reduces actual team workload, how outcomes beyond alert volume are measured (MTTR, MTTC, false positives), vendor viability and pricing risks, whether AI augments or deskills analysts, the boundaries of AI autonomy and fail-safes, integration depth with existing SIEM/EDR/SOAR stacks, and explainability/audit trail transparency. The piece is sponsored by Prophet Security, which uses the Gartner framework to promote its own agentic SOC platform.
Table of contents
1. Does it actually reduce the work your team does today?Validate the Promises of AI SOC Agents With These Key Questions2. How do you measure outcomes beyond "alerts processed"?3. Is the vendor going to be around in two years?4. Does it make your analysts better, or just busier in a different way?5. What are the boundaries of AI autonomy?6. Will it actually work with your existing stack?7. Can you actually see what it's doing?The bigger pictureSort: