
"CrowdStrike has teamed up with Meta to launch a new open-source suite of benchmarks to test the performance of AI models within an organization's security operations center (SOC). Dubbed , the suite is designed to help businesses sift through a growing mountain of AI-powered cybersecurity tools to help them hone in on one that's ideally suited for their needs. "Without clear benchmarks, it's difficult to know which systems, use cases, and performance standards deliver a true AI advantage against real-world attacks," CrowdStrike wrote in a press release."
"The new framework tests large language models (LLMs) across key cybersecurity benchmarks, including incident response, threat analysis comprehension, and malware testing. Like all AI model testing frameworks, CyberSOCEval is also intended to formalize the evaluation of LLMs for real-world cybersecurity tasks to provide organizations with a clearer picture of particular systems' strengths and weaknesses. CyberSOCEval could also give AI developers a more fine-grained understanding of how enterprise clients are using their models for cybersecurity tasks, possibly leading to more specialized and capable models."
CrowdStrike and Meta released an open-source benchmark suite to evaluate large language models on security operations center tasks, including incident response, threat analysis comprehension, and malware testing. The framework formalizes LLM assessment for real-world cybersecurity tasks and creates comparative metrics to reveal strengths and weaknesses of different systems. The benchmarks aim to help organizations navigate diverse AI cybersecurity tools with varying capabilities and price points and support better procurement decisions. The suite also offers feedback to developers on enterprise usage patterns, potentially driving more specialized, capable models for SOC integration.
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