A new graph-driven methodology called RIFT-Bench automates the discovery and scanning of vulnerabilities in autonomous AI systems. It uses a hierarchical representation to deploy adaptive adversarial attacks across diverse agent architectures. This approach moves beyond static LLM benchmarks. Practitioners can now unify security evaluations for heterogeneous agentic workflows using a single framework.