A new framework called REVELIO has been developed to identify interpretable failure modes in Vision-Language Models (VLMs), particularly in safety-critical applications like autonomous driving and robotics. By uncovering vulnerabilities in these models, REVELIO aims to enhance their safety and operational efficiency.