Data Pipeline (ETL)
The automated flow that moves and transforms data from sources to destinations - the ETL/ELT plumbing that feeds analytics, warehouses, and AI.
A data pipeline is a sequence of steps that ingests data from sources, transforms it, and loads it into a destination such as a warehouse or a model - the ETL or ELT process behind most analytics and machine learning. Pipelines are where raw data becomes usable, and where a lot of sensitive data is copied, joined, and moved.
Every stage of a pipeline is a place data can be over-exposed or leak, especially once an AI step is added that reads from it or sends it to a model. Governing the pipeline means the same identity, purpose, and jurisdiction that scope a live request also apply to the data feeding AI - so what a model can retrieve is bounded before it ever reaches a prompt.
Govern AI like infrastructure.
Talk to our team about deploying DataStrict across your enterprise stack.