7 platform features missing from AI agent frameworks that break production
Red Hat’s analysis shows AI agents that work in test often crash in reality because core platform capabilities—cryptographic identity, sandboxing, tool governance, observability, and more—are missing from popular frameworks. Without these, failures can cost thousands and generate legal headaches. Adding the seven missing layers lets teams deploy agents at scale safely.