The development of AI solutions after the release of ChatGPT has accelerated significantly, with many organizations eager to integrate Large Language Models (LLMs) into their products and operations. Organizations with limited resources may leverage pre-trained models, crowd-sourced data sources, and open-source frameworks. The widespread availability of these assets makes fine-tuning and deploying models more accessible than ever. However, ensuring their safety and security after deployment remains a challenge. These third-party assets may save time and reduce costs but can also introduce vulnerabilities in the systems and processes they are integrated into. Developers and security experts leveraging LLMs within their solutions must be well-versed in the supply chain risks associated with AI solutions and the strategies for effectively mitigating them.
Supply chain LLM Risks
LLM supply chain risks can occur when organizations utilize third-party AI products that depend on unvalidated datasets and models, leading to potential malfunctions or operational disruptions. Organizations that rush …