Crew Scaler Releases Landmark Agentic AI Security Study for Multi-Agent Systems

In the study, Crew Scaler researchers evaluated 16 security and risk management frameworks against more than 1,000 distinct multi-agent risk items across nine categories. The findings are clear: significant gaps remain. The conclusion: traditional AI safety checklists are necessary but not sufficient for multi-agent systems.