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The Corrupt Algorithm: Securing the AI Supply Chain with Containers

· Source: cloudnativenow.com

In short

This article explores how AI-driven applications introduce new security vulnerabilities like data poisoning and prompt injection that can compromise supply chains. It advocates for using containers as trust boundaries to ensure model integrity, isolation, and reproducibility throughout the AI development pipeline. The piece provides practical ModelSecOps strategies for DevOps teams to secure AI supply chains through container-based verification and monitoring.

Read Original Article — Read the full article on the publisher’s site.

In the issue of week 39, 2025: Agentic AI Drives Supply Chain Autonomy, Cutting Costs and Boosting Throughput

Tags: security, containers, automation, monitoring, devops, supply-chain

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