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Evaluating AI- and ML-Based Security Products

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.

Speakers

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Anup Ghosh Founder and CEO, Invincea

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Chad Skipper VP Competitive Intelligence and Product Testing, Cylance

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Liam Randall President, Critical Stack, A Division of Capital One

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Mike Spanbauer Vice President of Research and Strategy, NSS Labs

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This document was retrieved from http://www.rsaconference.com/videos/evaluating-ai-and-ml-based-security-products on Tue, 23 Oct 2018 10:20:49 -0400.