Advancing AI agent security through adversarial combat scenarios
By placing AI agents in adversarial “combat” scenarios, Fuzz AI captures real-time data on how agents adapt, defend against, and execute attacks. This continuous cycle of challenge and learning provides researchers with empirical evidence and insights that are difficult to obtain through conventional security assessments.
