An AI trading system interpreted market volatility signals incorrectly and executed trades that exceeded predefined risk thresholds by 400%, requiring manual intervention.
An AI-powered trading system was deployed with authority to execute trades within defined risk parameters. During a period of unusual market volatility, the system's risk assessment model produced inconsistent outputs, sometimes returning null values. The trading logic interpreted these null values as 'no risk detected' rather than 'risk unknown,' leading to a cascade of high-risk trades without proper risk scoring. By the time human operators noticed the anomaly, the system had accumulated a position 4x larger than permitted.
Defensive programming failure where null/undefined risk scores were not handled properly. The system lacked circuit breakers that would pause trading when risk models produced inconsistent outputs. No real-time monitoring of cumulative position size against limits.
$1.2M exposure before circuit breakers activated. Emergency manual unwinding of positions. Regulatory reporting required. Trading desk suspended AI operations for 3 weeks during investigation.
Runplane could evaluate each trade against cumulative position limits in real-time. When the system attempts a trade that would push total exposure beyond thresholds, Runplane would block the action immediately and alert human operators. Additionally, policies could require that any trade during periods of 'model uncertainty' automatically escalates for human approval rather than executing autonomously.