Speaker
Description
This article presents the development, implementation, and validation of an integrated monitoring and security platform for Proxmox virtual environments. The platform utilizes lightweight host agents to gather high-frequency CPU, memory, and network I/O measurements using the Proxmox API, and to analyze outgoing traffic against a centralized trust registry for the real-time detection of suspicious events. An adaptable machine-learning module looks at normal VM behavior to reduce false alarms, while flexible, role-based API endpoints allow secure changes to trust settings without interrupting services. The validation across diverse workloads illustrates the platform's efficacy in precisely identifying both resource and network irregularities.
