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Explore the critical aspects of AI security testing in this 28-minute OWASP Foundation talk by Dr. Nitish M. Uplavikar. Learn how AI technologies require specialized testing approaches based on risk factors, size, and application domains—similar to how different vehicles need distinct safety systems. Discover the challenges posed by inconsistent terminology and interoperability issues across existing AI threat modeling frameworks. Gain valuable insights from a meta-analysis of 14 AI threat modeling frameworks that provides a streamlined set of questions for effective AI/ML threat analysis. Understand how expert review has refined these questions to simplify the manual analysis of AI/ML applications and improve threat discovery processes.
Syllabus
AI Under the Hood: Unmasking Hidden Threats - Dr. Nitish M. Uplavikar
Taught by
OWASP Foundation