As AI becomes integral to operational strategies, the imperative for secure, trustworthy and verifiable AI deployment intensifies. Security practitioners must understand the complexities of deploying AI models securely, particularly the critical role of artificial intelligence bills of materials, or AIBOMs, in ensuring security, trust, and accuracy.

AIBOMs provide a detailed inventory of components, data sets, and environments involved in AI model development, crucial for oversight and control, especially for third-party AI applications. Unlike software bills of materials – or SBOMs, AIBOMs include data lineage, model training parameters, and ethical considerations, offering a comprehensive view essential for maintaining transparency and trust.

In this session, the panelists will share insights on:

• Understanding the differences and the criticality of AIBOMs for a transparent, controlled AI deployment;
• Validation methods for AI system integrity and security, ensuring alignment with organizational values and stakeholder trust;
• How information security leaders can rigorously assess AI vendors, with a focus on security, accuracy and ethical considerations.