Inference & API Abuse Protection

AI systems increasingly expose models through APIs, inference endpoints, chat interfaces, and automated services. While these capabilities enable scalability and business value, they also create opportunities for misuse, abuse, and unauthorized access. Organizations must implement controls that protect AI services from excessive usage, malicious inputs, unauthorized access attempts, and operational disruption. In this lesson, learners will explore inference security, API protection strategies, abuse prevention mechanisms, rate limiting, authentication controls, monitoring practices, and governance responsibilities for securing operational AI services. Understanding these concepts helps organizations strengthen resilience, maintain service integrity, and support trustworthy AI deployment.