articles secure-resilient-delivery-pipelines 
IBM Journey to AI blog
MARCH 4, 2024
Security, governance, risk and compliance mechanisms are essential not only for governing AI but also for managing the IT estate running AI, providing evidence for regulatory compliance. Financial/criminal: Violations of existing and emerging data and AI regulations.
Data Science Dojo
AUGUST 24, 2023
Examples of CD practices in MLOps include: Automated ML pipeline with continuous deployment tools like Jenkins or CircleCI for integrating and testing model updates, then deploying them to production. Managing training pipelines and workflows for a more efficient and streamlined process.
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