
The rapid migration of high-stakes artificial intelligence development from static chat interfaces to agentic systems capable of executing complex, multi-stage tasks over extended durations has introduced a new class of systemic vulnerabilities. As models gain the proficiency to chain reasoning steps and interact autonomously with external environments, the risk of “long-horizon” failures—instances where models pursue objectives outside of intended human










