AAISM: Advanced in AI Security Management

The rate of model drift is a critical early-warning indicator because drift can mean that a deployed AI system no longer satisfies the assumptions and limitations of its original design, increasing the likelihood of degraded performance and negative impacts. Ongoing monitoring supports timely intervention before those risks become entrenched.