MLflow

MLflow is an open-source platform developed by Databricks that provides tools for managing the machine learning lifecycle, including experiment tracking, model packaging, and deployment. It enables data science and ML teams to log parameters, metrics, and artifacts while maintaining reproducibility across different environments and frameworks. For enterprise governance, MLflow supports model versioning, registry features, and integration with production systems, making it valuable for enforcing consistency in model development and ensuring compliance with organizational standards around model documentation and lineage.

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ResearchUS2026-08-26

Exploited MLflow SSRF and AI-Generated PLC Attacks Converge on AI Infrastructure

The Cloud Security Alliance's August 23 CISO Daily Briefing flags two AI-infrastructure security findings with direct compliance implications. An actively exploited server-side request forgery flaw in MLflow is being used to steal cloud credentials from model-serving environments. A separate joint government advisory warns that AI-generated Python scripts are enabling attacks on Siemens S7 programmable logic controllers used in industrial settings.

Cloud Security Alliance MLflow ICS security credential theft critical infrastructure supply chain security AI exploit tooling cybersecurity