A Python-based toolkit for automating Governance, Risk, and Compliance (GRC) workflows across healthcare and security frameworks.
This project automates:
- Control mapping across NIST, HIPAA, and HITRUST
- Regulatory detection (e.g., HIPAA 164.x references)
- Risk scoring and gap analysis
- HITRUST 06.c access control relevance analysis
- Interactive dashboard reporting
- Detects HIPAA references (e.g., 164.x)
- Maps controls across frameworks
- Scores controls and assigns risk levels
- Exports processed audit artifacts
- Interactive Streamlit dashboard for compliance analysis
- Evaluates HITRUST 06.c relevance
- Streamlit dashboard for interactive analysis
git clone https://github.com/GeoJordan/grc-python-toolkit.git
cd grc-python-toolkit
pip install -r requirements.txtgrc-python-toolkit/
├── app.py
├── data_loader.py
├── pipeline.py
├── requirements.txt
├── README.md
├── .gitignore
└── images/Manual control mapping is often performed in spreadsheets, making audits slow and inconsistent.
This toolkit helps organizations:
- Improve audit readiness
- Reduce manual compliance effort
- Standardize control analysis
- Support healthcare security assessments
pip install -r requirements.txt
streamlit run app.pyTry the app here: https://grc-python-toolkit-munwvhugqwteynxkdxrcs9.streamlit.app/
Built by George Jordan using Python + GRC automation.
