Secure MLOps in 2026: Guardrails, Signing, Supply Chain
· Source: blockchain-council.org
In short
Secure MLOps (DevSecMLOps) is becoming the standard for running machine learning in production in 2026, addressing security challenges across the full AI lifecycle. The article focuses on CI/CD guardrails, model signing, and software/data supply-chain security to protect against threats like model poisoning, prompt injection, and dependency vulnerabilities. Organizations are implementing these practices to create verifiable, auditable AI delivery pipelines that meet regulatory requirements and reduce risks in LLM and agent deployments.
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In the issue of week 14, 2026: AI-Driven Execution Transforms Supply Chains with Speed, Security, and Scale
Tags: MLOps, security, supply-chain, compliance, automation, governance