The emergence of Generative AI (GenAI) has caused a surge in the use of AI across various industries. From generating realistic images and human-like text to automating complex decision-making processes, GenAI is revolutionizing the way businesses operate and innovate. However, this rapid expansion in AI systems causes businesses to focus more on deploying these systems and less on the trustworthiness of all the elements that go into them. AI/ML can introduce multiple attack vectors to organizations–from data poisoning to model poisoning and bias. To mitigate these risks, organizations must manage every component in their AI/ML systems using an AI Bill of Materials (AIBOM). Developers, data scientists, and security experts should advance their AI maturity by exploring AIBOMs within their organizations.
What is an AI Bill of Materials?
A traditional Bill of Materials (BOM) lists materials and parts essential for production in manufacturing and …