Towards an AI-based security consultant for SMEs

This research project aims to automate basic tasks of security consultants for Swiss SMEs using a data-driven approach. The architecture collects security-relevant company information to create a Digital Twin of Organization (DTO). This digital replica serves as a model where an LLM is tailored to perform a company-specific security assessment. Instructions from tools and remedial measures are analyzed via a Retrieval-Augmented Generation (RAG) system to generate concrete implementation steps. The goal is to equip Swiss SMEs with a tool to identify major risks and obtain specific actions to mitigate them.

Publication Details

Journal
Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)
Published
2025-10-28
DOI
https://doi.org/10.21256/zhaw-34519
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards an AI-based security consultant for SMEs

Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)
Information and Cyber Security
article

Towards an AI-based security consultant for SMEs

article en

Abstract

This research project aims to automate basic tasks of security consultants for Swiss SMEs using a data-driven approach. The architecture collects security-relevant company information to create a Digital Twin of Organization (DTO). This digital replica serves as a model where an LLM is tailored to perform a company-specific security assessment. Instructions from tools and remedial measures are analyzed via a Retrieval-Augmented Generation (RAG) system to generate concrete implementation steps. The goal is to equip Swiss SMEs with a tool to identify major risks and obtain specific actions to mitigate them.

Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)
Openalex Percentile: Top 32%
Information and Cyber Security
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Towards an AI-based security consultant for SMEs · Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences) (2025) | TGRS Research Map | TGRS