AI SOC LLM Leaderboard

Introducing the first benchmark to comprehensively measure LLM performance in Security Operations Centers (SOCs). It measures LLMs against a diverse range of real alerts and fundamental SOC tools over all phases of alert investigation, from ingestion to disposition.

LLMs performance on AI SOC LLM Leaderboard

Reduce

Our AI Agents work 24x7x365 to automatically investigate and respond to alerts, conduct threat hunts, prioritize and patch vulnerabilities, and more

Sample of Benchmark Scenarios

Our benchmark is built on the autonomous investigation of 100 full-kill chain scenarios that realistically mirror what human SOC analysts face every day. The created attack scenarios have known ground truth of malicious activity, allowing AI agents to investigate and be assessed against a clear baseline. The used scenarios are even based on historical behavior of well-known APT groups and cybercriminal organizations covering a wide range of MITRE ATT&CK™ Tactics and Techniques, with a focus on prevalent threats like ransomware and phishing.

APT32

APT38

APT43

Cobalt Group

Lapsus$

AI SOC revolutionized

First realistic AI SOC benchmark

First realistic AI SOC benchmark

Simbian AI Agent end-to-end alert triage

Simbian AI Agent end-to-end alert triage

92% of alerts resolved autonomously

92% of alerts resolved autonomously

5x cost saving & near instant ROI

5x cost saving & near instant ROI

More technical details in the blog

More technical details in the blog