The National Institute of Standards and Technology (NIST) has introduced an adversarial machine learning taxonomy aimed at addressing security attacks that target agentic superintelligence systems. Reported by Industrial Cyber on November 11, 2026, the framework is designed to help categorize and understand threats and vulnerabilities associated with advanced artificial intelligence systems. This development provides foundational guidance for identifying and mitigating potential security risks in complex, autonomous AI technologies.