RIFT-Bench: Dynamic Red-teaming For Agentic AI Systems

RIFT-Bench is a newly introduced methodology for dynamic red-teaming of agentic AI systems, leveraging a graph representation to facilitate unified security evaluations across diverse architectures. It operates in two automated phases: Discovery, which extracts system structure, and Scanning, which applies adaptive adversarial attacks, demonstrating effectiveness across 45 different agentic systems. This framework not only assesses vulnerabilities but also evaluates mitigation strategies, providing a scalable tool for practitioners focused on enhancing the security of autonomous decision-making systems.