Production adversarial AI systems require specialized toolkits that bridge the gap between theoretical attack techniques and operational security implementations. As organizations deploy machine learning (ML) models across critical business functions, including fraud detection, medical diagnosis, autonomous navigation, and content moderation, security teams need robust tools for systematic vulnerability assessment and defense deployment that integrate with existing security operations workflows. This chapter provides approaches for tool ecosystem navigation, advanced implementation techniques, and unified analysis workflows that support both research investigations and production security operations.