The modern software supply chain has grown increasingly complex, incorporating thousands of dependencies, third party packages, and AI driven components. Traditional approaches to supply chain security, relying solely on manual review or static SBOMs (Software Bill of Materials), struggle to keep pace with rapid development cycles and evolving threats.
In short, SBOM gives you a complete, structured inventory of the code and libraries in your software, allowing for fast vulnerability response and license management. AIBOM takes this concept further, providing an inventory of the non-code components of an AI system, the models, training data, and configurations, to manage risks unique to artificial intelligence like bias, data leakage, and adversarial attacks.
AIBOM an AI powered extension of SBOM that automatically identifies hidden dependencies, analyzes risk relationships, and highlights potential vulnerabilities before they reach production. This session explores how AI BOM can revolutionize supply chain security by providing deep visibility into software artifacts, detecting malicious or compromised components, and enabling proactive mitigation strategies.