From the course: Securing the AI/ML Development Lifecycle: A Practical Guide to Secure AI Engineering
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SBOM and AIBOM
From the course: Securing the AI/ML Development Lifecycle: A Practical Guide to Secure AI Engineering
SBOM and AIBOM
- [Instructor] AIBOMs, or AI Bills of Materials, can help organizations know what is in the AI that they use, meaning information about how it was built, data use to train it, components it needs to run, its authorship, license, intended use, and numerous other critical pieces of information. To see why this is valuable, compare it to how organizations are already using SBOMs, or Software Bills of Materials. We all know that modern applications rely on an array of supporting components. External source code, static libraries, dynamic link libraries, shared objects, middleware, resource files, and dozens of other things. This supporting software can have vulnerabilities, so keeping the software hardened doesn't just mean fixing the bugs our developers introduce, it also means keeping track of those dependencies. For example, knowing when vulnerabilities are found in supporting components so the teams can apply security…
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