Detecting malware in container environments is challenging due to the rapid evolution of malicious code and the complexity of container stacks, but Datadog Workload Protection offers a solution by providing a unified platform for malware detection. This platform leverages Datadog's internal threat intelligence and third-party feeds like MalwareBazaar to identify and remove threats with enhanced precision, using crowd-sourced threat data while minimizing false positives. The detection process, which is resource-intensive, is executed on Datadog's servers to prevent strain on users' resources. When malware is detected, Workload Protection generates a security signal, assigns a severity level, and provides detailed context and tools for users to quickly address the threat, including the ability to analyze related suspicious activities and infrastructure metrics. This robust approach allows users to secure their containers effectively without incurring significant computational overhead, and Datadog offers further resources and a free trial for new users.