AI Supply Chain
We've curated 13 cybersecurity statistics about AI Supply chain to help you understand how artificial intelligence is enhancing logistics management, improving risk assessment, and addressing vulnerabilities in supply chain networks in 2025.
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Malware hidden in public model and code repositories accounts for 35% of AI-related breaches.
93% of IT and security leaders continue to rely on open repositories for innovation.
31.2% of organizations expect AI Supply Chain Security to require the most new investment in AI security over the next 12 months.
29% of organizations identify external APIs and SaaS-embedded AI features as their greatest AI supply chain risk.
31% of organizations identify data sources and embeddings as their greatest AI supply chain risk.
27% of organizations view AI supply chain risks as spanning the entire AI supply chain from sourcing through runtime deployment.
31% of organizations are redirecting their largest security investments toward AI supply chain security over the next 12 months.
Over 31% of organizations are planning to allocate their security budgets to AI supply chain security over the next 12 months.
3% of organizations are unsure which aspect of the AI supply chain poses the greatest risk to their organization.
16% of organizations rank plugins and extensions as their greatest AI supply chain risk.
Just 9% of organizations rank orchestration layers and agents as their greatest AI supply chain risk.
Only 13% of organizations rank model sourcing and provenance as concerns regarding AI supply chain risk.
38% of organizations identify runtime as their most vulnerable phase in AI supply chain security.