The Lakera AI Model Risk Index is an innovative security benchmark designed to test the resilience of large language models (LLMs) under real-world adversarial conditions, offering a more practical assessment of model security than traditional methods. By simulating various attack scenarios, such as direct prompt injections and indirect manipulations in real enterprise applications, the Index evaluates how effectively LLMs maintain their intended behavior under pressure. It provides a standardized 0–100 risk assessment score, enabling security teams to make informed decisions about model selection, deployment strategies, and governance, thereby moving from theoretical assumptions to actionable risk insights. This approach helps enterprises understand how models respond to adversarial inputs, ensuring they enforce behavioral boundaries while supporting safer GenAI deployment and compliance efforts.