The text outlines the security challenges and limitations associated with monitoring remote user sessions in Kubernetes environments due to dynamic pod scheduling, which can lead to increased vulnerability when user credentials are compromised. Traditional methods, such as Kubernetes audit logs, provide limited visibility, while capturing standard input of remote sessions often fails to offer comprehensive insights and context needed for effective security investigations. Datadog Workload Protection offers a novel approach by utilizing eBPF to correlate system activity with Kubernetes user identities, enabling enhanced visibility into remote sessions. This approach overcomes challenges associated with traditional monitoring by attributing kernel-level events to the correct users, providing a more robust and actionable security framework. Workload Protection also offers dashboards to visualize trends and detect suspicious activity, facilitating better incident management and risk mitigation in Kubernetes deployments.