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Resilient Cyber

Resilient Cyber w/ Helen Oakley - Exploring the AI Supply Chain

Oct 8, 2024
Helen Oakley, an expert in software supply chain security at SAP, discusses the complexities of securing AI supply chains in a rapidly evolving landscape. She highlights the need for transparency and risk assessment to mitigate vulnerabilities. Oakley introduces the concept of AI-BOMs, which provide critical insights into AI models and datasets, and contrasts them with traditional SBOMs. The conversation also touches on the implications of AI regulations in the U.S. and EU, underscoring compliance challenges in high-stakes sectors like healthcare and finance.
20:26

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • The shift from conventional software to AI necessitates continuous monitoring of dynamic components, highlighting the need for AI-specific Software Bill of Materials (SBOM) adjustments.
  • Organizations must develop a robust AI governance framework to evaluate risks and ensure compliance, especially in high-stakes sectors like healthcare and critical infrastructure.

Deep dives

The Evolution of Software Supply Chain Security in AI

Software supply chain security has adapted with the introduction of artificial intelligence, as traditional models now face new complexities. Unlike conventional software, where the components remain static until a new build, AI's dynamic nature requires continuous monitoring of changes and dependencies throughout its runtime. This shift necessitates an expansion of the standard Software Bill of Materials (SBOM) to accommodate AI-specific elements, such as information about models and training datasets. The challenge lies in understanding these real-time alterations and the associated risks that may arise, highlighting the need for a comprehensive approach to AI supply chain transparency.

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