Responsible for Systems You Can't See: A C-Suite Guide to AI Supply Chain Risk
· Source: aijourn.com
In short
Two major supply chain attacks on LiteLLM and axios in March 2026 demonstrated how attackers exploit trusted open-source workflows and update mechanisms rather than directly breaking into corporate systems. The article argues that AI has fundamentally expanded and obfuscated the attack surface, creating invisible dependencies that executives are responsible for but cannot fully see or govern.
Read Original Article — Read the full article on the publisher’s site.
In the issue of week 20, 2026: AI-Powered Automation and Control Towers Drive Supply Chain Transformation
Tags: supply chain, AI risk, cybersecurity, open-source, governance, attack surface