Exploiting Trust in Open-Source AI: The Hidden Supply Chain Risk No One Is Watching
· Source: trendmicro.com
In short
The widespread adoption of open-source AI models introduces significant supply chain vulnerabilities, including undetectable backdoors embedded during training or distribution. Traditional security tools like static analysis and SBOMs often fail to detect these hidden threats, which can cause unauthorized actions or misclassifications when triggered. The article proposes practical mitigation strategies such as data lineage tracking, behavioral testing, cryptographic model signing, and policy standardization to secure AI model supply chains.
Read Original Article — Read the full article on the publisher’s site.
In the issue of week 30, 2025: AI-Driven Automation and Security Redefine Global Supply Chains
Tags: supply chain, backdoors, security, open-source, mitigation, threats