As organizations accelerate AI adoption, managing AI-related risks has become a critical governance and business priority. An AI risk taxonomy provides a structured framework for identifying, classifying, and mitigating risks across data, models, security, compliance, ethics, and emerging agentic AI systems. This comprehensive guide explores the key risk categories, governance strategies, and best practices enterprises need to build resilient, compliant, and trustworthy AI ecosystems at scale. Read more..