Both ChatGPT and Google Gemini can process Software Bill of Materials (SBOMs) by extracting and summarizing key components, licenses, and dependencies from various formats like SPDX or CycloneDX. Gemini 1.5 Pro, with its significantly larger context window, generally outperforms standard ChatGPT models for consuming more extensive and complex SBOM documents, allowing for deeper contextual analysis. They can answer natural language queries about the SBOM content, identify potential vulnerabilities or license risks if explicitly present, and offer high-level insights into the software supply chain. However, neither is a dedicated SBOM parsing tool; they may hallucinate details or misinterpret intricate dependency graphs, lacking the deterministic accuracy of specialized software. Their primary strength lies in their ability to contextualize and summarize rather than perform precise, auditable parsing. For critical security analysis and compliance, purpose-built SBOM tools remain essential, with LLMs serving as powerful complementary aids for interactive querying and summarization. More details: https://apps.trademal.com/pagead/www/delivery/ck.php?ct=1&oaparams=2__bannerid=46__zoneid=9__cb=0795f1793f__oadest=https://infoguide.com.ua/