"CrowdStrike and Meta are jointly introducing CyberSOCEval, a new suite of open source benchmarks to evaluate the performance of AI systems in security operations. The collaboration aims to help organizations select more effective AI tools for their Security Operations Center. Meta and CrowdStrike are addressing a growing challenge by introducing CyberSOCEval, a suite of benchmarks that help define what effective AI looks like for cyber defense. The system is built on Meta's open source CyberSecEval framework and CrowdStrike's frontline threat intelligence."
"Cyber defenders face an overwhelming challenge due to the influx of security alerts and evolving threats. To stay ahead of adversaries, organizations must embrace the latest AI technologies. However, many security teams are still in the early stages of their AI journey, especially when it comes to using Large Language Models (LLMs) to automate tasks and increase efficiency in security operations. Without clear benchmarks, it is difficult to determine which systems, use cases, and performance standards actually offer an AI advantage against real attacks."
Meta and CrowdStrike created CyberSOCEval, an open-source benchmark suite built on Meta's CyberSecEval framework and CrowdStrike's threat intelligence. CyberSOCEval evaluates LLMs across workflows including incident response, malware analysis, and threat analysis comprehension. The benchmarks test models with combinations of real attacker tactics and expert-designed security reasoning scenarios to validate performance under pressure and prove operational readiness. The suite helps security teams identify where AI adds the most value and gives model developers targets to improve capabilities, ROI, and SOC effectiveness. Access to the benchmarks is available through Meta's CyberSecEval framework.
Read at Techzine Global
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