This article discusses the common reasons why enterprise ontologies and knowledge graphs often fail. The author draws on personal experience with machine learning projects to highlight key issues in design and implementation.

A robust security framework designed to prevent DNS-based exfiltration in enterprise environments utilizes deep packet inspection within the Linux kernel, employing eBPF for real-time threat mitigation. It integrates advanced metrics, dynamic network policies, and machine learning to ensure high security against various exfiltration methods while supporting both cloud-native and legacy DNS infrastructures. The project emphasizes kernel-enforced dynamic security as an innovative approach to enhance endpoint detection and response solutions.