CyBiasBench

CyBiasBench is a comprehensive 630-session benchmark that evaluates the attack-selection bias of five large language model agents across three targets and four prompt conditions involving ten attack families.

Papers using CyBiasBench (1)

CyBiasBench: Benchmarking Bias in LLM Agents for Cyber-Attack Scenarios2026