AI Loss of Control Incident Management: Response & Resilience

Collection of recent AI/LLM research highlighting urgent operational security concerns and mitigation approaches. Key paper introduces a taxonomy and incident-management framework for AI loss-of-control (LOC), distinguishing scenarios where regaining control is 'impossible' (requiring upfront resilience and attack-surface reduction) versus 'extremely costly' (requiring active containment, threat-neutralization, graduated escalatory measures, and automated circuit-breakers for accidental LOC). Complementary work demonstrates that prompt tone and toxic lexical perturbations systematically reduce