Data and AI pipelines are becoming easier to build, but harder to trust. Teams must understand what data moves through each step, whether personal or sensitive data is involved, how the pipeline performs and what evidence is available for regulatory review.
SINTEF develops a compliance-by-design toolbox that connects pipeline profiling, data enrichment based compliance analysis and regulatory assessment. SIM-PIPE dry runs pipeline steps and collects compliance-relevant data, MooseAPI (or Moose) identifies relevant privacy characteristics and LexAlign turns pipeline evidence and regulatory context into traceable compliance assessments and reports.
Software artefacts
- LexAlign - Compliance analysis workspace for AI and data pipelines
- SIMPIPE - generate and simulate data pipeline deployment configurations
- Zootology - Toolkit for semantic data enrichment and reconciliation