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· 5 min read
Quentin Jerome

In the complex field of incident response, effective training for Security Operations Center (SOC) operators is critical. One of the key challenges in SOC training is providing realistic, data-driven environments that accurately simulate the threats and incidents operators will face. Additionally, detection engineers need reliable and actionable data to create robust detection rules that align with real-world security monitoring systems. However, gathering and analyzing real-world malware samples, which is essential to this process, can be time-consuming and prone to errors when done manually.