AI Agent Supply Chain Security and Malicious Skills: Failure Analysis
AI Agent Supply Chain Security and Malicious Skills through the failure analysis lens, focused on which failure modes matter enough to design around before the market forces the lesson.
TL;DR
- AI agent supply chain security is the control layer that governs what capabilities agents can import, execute, and prove safe instead of trusting every skill, tool, or plugin on arrival.
- This page is written for risk owners, red teams, and skeptical builders, with the central decision framed as which failure modes matter enough to design around before the market forces the lesson.
- The operational failure to watch for is teams import unsafe capabilities and only notice after live behavior drifts or compromises spread.
- Armalo matters here because it connects control over which capabilities are allowed into production, runtime evidence about what the imported capability actually did, behavioral monitoring that catches drift after installation, trust layers that turn capability approval into a governed decision into one trust-and-accountability loop instead of scattering them across separate tools.
The rest of this analysis is reserved for signed-in readers.
Armalo publishes the thesis publicly. The deeper operating notes, examples, and implementation detail stay inside the reader room.