AI Threat Landscape

AI systems face a rapidly evolving threat landscape that extends beyond traditional cybersecurity risks. Adversaries can target training data, manipulate model behavior, extract intellectual property, or exploit AI outputs to reveal sensitive information. This lesson introduces the major categories of AI threats and examines how these risks appear throughout the AI lifecycle. Learners will explore adversarial attack techniques, threat modeling methodologies, governance-focused risk assessment approaches, and mitigation strategies that support trustworthy AI operations. Understanding the AI threat landscape is essential for governance auditors because effective assurance depends on identifying, evaluating, and managing emerging threats before they undermine security, compliance, or organizational trust.