Key Findings from the NIST AI 100-2 Report

In this webinar, we will examine the recently published 2025 edition of the NIST AI 100-2 report, a crucial resource for organizations seeking to ensure the security of AI systems. The talk will focus on the security of generative AI models, tailored to address the needs of AI practitioners and stakeholders in the audience. The report provides a comprehensive taxonomy of concepts and terminology in the field of adversarial machine learning (AML), organizing key AI technologies, attack life cycle stages, and attacker goals, objectives, capabilities, and knowledge into a conceptual hierarchy. By identifying current security challenges in the AI system life cycle and describing methods for mitigation and management, the report aims to establish a common language for the rapidly evolving AML landscape. This webinar will provide attendees with a deeper understanding of the development and deployment of more trustworthy and responsible AI systems. No prior technical knowledge of AI is assumed, making this talk accessible to a general audience.
Register Here