Guardrails Under Fire: Why Autonomous Agent Risk Controls Collapse During the Moments That Matter Most
Autonomous trading agents are engineered to manage risk under predictable conditions — but when volatility spikes beyond historical norms, those same controls can accelerate losses rather than contain them. This investigation examines the structural failure modes that expose portfolios during black swan events and presents a framework for building adaptive guardrails that hold under genuine market stress.