

Practical guidance for SOC leaders.
Most SOC leaders don't trust AI to run investigations, and rightly so, because LLMs are inherently inconsistent.
But the most advanced SOC leaders know the real gold lies in hybrid architectures that combine the analytical power of LLMs with deterministic orchestration. This approach transforms LLMs from unpredictable copilots into reliable, production-grade SOC analysts.
At Qevlar AI, we ran an experiment that every CISO and SOC leader considering AI should know about. The question was simple:
Can LLMs investigate alerts consistently enough to be trusted in production?
To find out, we took 180 real security alerts from enterprise environments. Each one required between 3 and 20 steps to investigate. Then we asked an LLM to run the same investigation 100 times per alert.



Every download includes our AI SOC buyer's guide. It walks through the pros and cons of each category and compares standalone AI SOC platforms head-to-head with the AI capabilities built into incumbent detection tools.

The most advanced SOC leaders know the real gold lies in hybrid architectures that combine the analytical power of LLMs with deterministic orchestration. This approach transforms LLMs from unpredictable copilots into reliable, production-grade SOC analysts.