Episode 31 — Coordinate Across Teams: Legal, Privacy, Security, Data, and Product Alignment (Domain 2)

Effective AI risk management in Domain 2 requires deep cross-functional coordination, as the risks associated with machine learning often span multiple traditional corporate silos. This episode explains how to build a collaborative environment where legal teams assess regulatory compliance, privacy officers manage data protection, and security professionals defend against adversarial attacks. For the AAIR exam, candidates must understand how to synchronize these disparate perspectives into a cohesive risk response that doesn't hinder product development. We discuss the importance of shared communication channels and integrated workflows, ensuring that a change in a model’s data source is automatically reviewed for both privacy implications and security vulnerabilities. Best practices involve creating a "hub-and-spoke" model where a central AI risk committee coordinates with specialized experts across the business. By aligning these teams, organizations can avoid contradictory guidance and ensure that AI systems are built with a holistic understanding of every relevant risk domain from the outset. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
Episode 31 — Coordinate Across Teams: Legal, Privacy, Security, Data, and Product Alignment (Domain 2)
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