MLOps & ML Security - Complete Reference (Jan 2026)

Production ML lifecycle with modern security practices.

This skill covers:

• Production: Data ingestion, deployment, drift detection, monitoring, incident response
• Security: Prompt injection, jailbreak defense, RAG security, output filtering
• Governance: Privacy protection, supply chain security, safety evaluation

1. Data ingestion (dlt): Load data from APIs, databases to warehouses
2. Model deployment: Batch jobs, real-time APIs, hybrid systems, event-driven automation
3. Operations: Real-time monitoring, drift detection, automated retraining, incident response

Modern Best Practices (Jan 2026):