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With endless AI or machine learning product claims, buyers are left bewildered with how to test these claims. It falls to independent third-party test organizations to develop and update traditional test protocols to test and validate AI and ML product capability claims. This panel will tackle the key issues that third-party testing must address to validate AI and ML security products.

Learning Objectives:
1: Learn to identify gaps in traditional testing approaches for AI/ML-based products.
2: Explore new approaches for testing AI/ML products.
3: Hear arguments for standards bodies and test organizations to upgrade test approaches.