A. Deploying dedicated physical server hardware for each major tenant to ensure strict performance isolation, with a pitfall of high capital expenditure and underutilization of resources.

B. Utilizing a hyperconverged infrastructure (HCI) solution with robust virtualization capabilities and resource governance features to logically isolate tenants, with a pitfall of potential 'noisy neighbor' issues if not properly configured.

C. Implementing a container orchestration platform like Kubernetes on bare-metal servers to provide granular resource limits for each tenant, with a pitfall of increased operational complexity and learning curve.

D. Procuring high-end GPU servers to accelerate tenant-specific machine learning models, with a pitfall of high power consumption and limited applicability to all XSIAM workloads.

E. Relying solely on XSIAM's built-in multi-tenancy features without additional hardware-level isolation, with a pitfall of insufficient performance guarantees and potential resource contention between tenants.