What's old is new again: How to demystify AI security with AIBOMs

An AI Bill of Materials (AIBOM) serves as a comprehensive documentation tool that clarifies the full AI infrastructure within an organization, akin to a Software Bill of Materials (SBOM) for traditional applications. It provides a roadmap for security leaders to identify and assess risks in AI systems, which encompass components like GPUs, containers, datasets, and APIs. As organizations rapidly adopt AI for automating processes and gaining competitive advantages, security teams face the dual challenge of integrating AI into security workflows while simultaneously securing the broader AI implementations across the company. Although AI brings familiar security challenges to new contexts, it relies on existing cloud-native infrastructures, such as containerized base images and orchestration platforms, which security teams already manage. Sysdig's paper on AIBOM emphasizes that understanding AI-specific risks and applying known security practices to AI workloads can demystify AI and ensure secure innovation.

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