Security researchers warn that future AI attacks will shift focus from targeting machine learning models themselves to compromising agentic workflows—the automated processes that enable AI systems to execute tasks independently. This emerging threat vector presents distinct security challenges as attackers seek to exploit the interconnected systems and decision-making chains that autonomous AI agents rely upon. The shift reflects the evolving threat landscape as AI systems become increasingly deployed in operational environments beyond research settings.