PreprintCC BY 4.0Zenodo
Classify Before You Embed: Access Control for Retrieval-Augmented AI Over an Organisation's Archive
- 1Mickai LTD
Abstract
A practical methodology for document classification and compartmentalised permissioning before an AI system gets retrieval access to an organisation's archive, with the confused-deputy failure mode that results from skipping it.
Related
- Integration of Retrieval-Augmented Generation for Knowledge Access in the ELBE Accelerator Control System
- Conformal Factuality Control for Multi-Hop Retrieval-Augmented Generation
- Beyond Search Scores: Retrieval Quality, Computational Cost, and LLM Judgment Sensitivity in a Multilingual Research Archive
- Graph-Enhanced Retrieval-Augmented Generation for Postoperative Patient Question Answering: A Comparative Evaluation of Knowledge Graph, Retrieval-Augmented Generation, and Hybrid GraphRAG Approaches
- GEO-BERT: A Retrieval augmented LLM Framework for Intelligent Dataset Retrieval from the Gene Expression Omnibus
BibTeX
@misc{irons2026classify,
title = {{Classify Before You Embed: Access Control for Retrieval-Augmented AI Over an Organisation's Archive}},
author = {Micky Irons},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23513827},
url = {https://zenodo.org/records/23513827},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Classify Before You Embed: Access Control for Retrieval-Augmented AI Over an Organisation's Archive
AU - Micky Irons
PY - 2026
DA - 2026/10/20
PB - Zenodo
DO - 10.5281/zenodo.23513827
UR - https://zenodo.org/records/23513827
AB - A practical methodology for document classification and compartmentalised permissioning before an AI system gets retrieval access to an organisation's archive, with the confused-deputy failure mode that results from skipping it.
ER -