On demand webinars

Demystifying AI Audits: A Practical Guide to Compliance

Description

Complex machine learning (ML) models are often referred to as “black boxes” and even the data scientists that trained the models may not be able to explain the underlying algorithmic decisions. While this lack of visibility is a reality, it doesn’t mean that the entire AI and ML lifecycle is unknowable and unauditable. In fact, AI and ML can and should be part of a comprehensive compliance program. In this presentation, we’ll explore where and how InfoSec, compliance, and audit professionals can assess AI models as well as the risk posed by AI through third parties. We will explain the differences between assessing DevOps and MLOps and show where process inventory, policy management, MLBoMs (machine learning bill of materials), and supply chain safety can be applied to provide visibility and audibility to an ML-aware audit program.

About the speakers

Diana Kelley is the Chief Information Security Officer (CISO) for Protect AI. She also serves on the boards of WiCyS, The Executive Women’s Forum (EWF), InfoSec World, TechTarget Security Editorial, and DevNet AI/ML. Diana was Cybersecurity Field CTO for Microsoft, Global Executive Security Advisor at IBM Security, GM at Symantec, VP at Burton Group (now Gartner), and a Manager at KPMG. Her extensive volunteer work has included serving on the ACM Ethics & Plagiarism Committee and as Cybersecurity Committee Advisor at CompTIA. She is a sought-after keynote speaker, the host of BrightTALK’s The Security Balancing Act, co-author of the books Practical Cybersecurity Architecture and Cryptographic Libraries for Developers, the EWF 2020 Executive of the Year, and EWF Conference Chair since 2021.

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