CodeNinjatools/ot-security-cip-evidence-us-ontology
OT security and NERC CIP evidence ontology and model register for an electric utility The object model and the model and equipment register from Grid Context Watch: One system of context for OT Security and NERC CIP Evidence, an open reference architecture by CodeNinja for United States. Part of the Vertical-Driven Architectures series; every design in the series is also a row in the cumulative dataset https://huggingface.co/datasets/CodeNinjatools/vertical-driven-architectures.… See the full description on the dataset page: https://huggingface.co/datasets/CodeNinjatools/ot-security-cip-evidence-us-ontology.
OT security and NERC CIP evidence ontology and model register for an electric utility
The object model and the model and equipment register from Grid Context Watch: One system of context for OT Security and NERC CIP Evidence, an open reference architecture by CodeNinja for United States. Part of the Vertical-Driven Architectures series; every design in the series is also a row in the cumulative dataset https://huggingface.co/datasets/CodeNinjatools/vertical-driven-architectures.
- Read the paper: https://codeatoms.ai/ot-security-cip-evidence-us/
- DOI: https://doi.org/10.5281/zenodo.23157957
- Source files and PDF: https://github.com/muhammadumar89/codeninja-research
- Live view: https://huggingface.co/spaces/CodeNinjatools/ot-security-cip-evidence-us
Files
How to use it
import json
from huggingface_hub import hf_hub_download
p = hf_hub_download("CodeNinjatools/ot-security-cip-evidence-us-ontology", "objects.json", repo_type="dataset")
objects = json.load(open(p))["objects"]
print([o["label"] for o in objects])Made with
Designed on Praxis, CodeNinja's platform for designing physical AI systems. The object model imports into Hyper Ontology, which turns it into a living system. Both are in beta; access by request.
Citation
CodeNinja Engineering Team and Umar Bilal. 2026. Grid Context Watch: One system of context for OT Security and NERC CIP Evidence. CodeNinja. https://doi.org/10.5281/zenodo.23157957. CC BY 4.0.
