Simbian Debuts First LLM Benchmark for Security Operations

“SOC analysts and vendors building tools for the SOC are rapidly embracing LLMs to scale their operations, increase accuracy, and reduce costs,” said Ambuj Kumar, Simbian CEO and Co-Founder. “Our industry-first benchmark enables SOC teams and vendors to pick the best LLM for this purpose. This benchmark is made possible by Simbian’s AI SOC Agent, a proven solution leading the industry in end-to-end alert investigation leveraging LLMs.”

Existing benchmarks compare LLMs over broad criteria such as language understanding, math, and reasoning. Some benchmarks exist for broad security tasks or very basic SOC tasks like alert summarization. But prior to today’s announcement, no benchmark existed to comprehensively measure LLMs on the primary role of SOCs, which is to investigate alerts end-to-end.

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This task involves diverse skills, including the ability to:

• Understand alerts from a broad range of detection sources;
• Determine how to investigate any given alert;
• Generate code to support that investigation;
• Understand data, extract evidence, and map it to attack stages;
• Reason over evidence to arrive at a clear disposition and severity;
• Produce clear reports and response actions; and
• Customize investigations for each organization’s context.

Simbian’s AI SOC LLM Leaderboard is the industry’s first and only benchmark that measures LLMs on autonomous end-to-end investigation of alerts, utilizing the above skills. To make the benchmark applicable across a range of SOC environments, it leverages 100 diverse full-kill chain scenarios that test all layers of defense. It is also the industry’s first benchmark to measure investigation performance in a lab environment mimicking an enterprise, with investigations autonomously retrieving data from live tools across the environment.

Source: Businesswire