Utilising Generative AI To Improve Practical Spear Phishing Training

Despite current anti-phishing measures, businesses still fall for phishing attacks, this issue stems from modern phishing attacks leveraging artificial intelligence. To address this issue, this research proposes the use of an automated pipeline to generate spear phishing emails for use by internal security professionals in practical spear phishing exercises. The proposed pipeline is automated, capable of using real employee data, is fully customisable with modular components, accepts any input data with fine-tuneable outputs, and is portable, as it can be accessed through the web. The pipeline was well received by businesses with generally positive feedback on the effectiveness of the pipeline and potential use cases. The generated emails were of good quality and of 60 responses, on average, the participants rated the emails a score of $4.11 / 5$ or “Very Accurate” and “Likely” to interact with the content of the emails, with an average score of $3.02 / 5$. The pipeline took an average of $\mathbf{1 7. 5}$ seconds per email. Using this number, it would take a business of 100 employees 29.17 minutes or a larger business with 1000 employees 4.86 hours. This level of speed and effectiveness showed that the pipeline could serve as an effective training tool for businesses.

Authors

Institutions

Publication Details

Published
2025-08-11
DOI
https://doi.org/10.1109/ficloud66139.2025.00026
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utilising Generative AI To Improve Practical Spear Phishing Training

Abu Alam, C.C. Green
Spam and Phishing Detection
article

Utilising Generative AI To Improve Practical Spear Phishing Training

Abu Alam, C.C. Green
article en

Abstract

Despite current anti-phishing measures, businesses still fall for phishing attacks, this issue stems from modern phishing attacks leveraging artificial intelligence. To address this issue, this research proposes the use of an automated pipeline to generate spear phishing emails for use by internal security professionals in practical spear phishing exercises. The proposed pipeline is automated, capable of using real employee data, is fully customisable with modular components, accepts any input data with fine-tuneable outputs, and is portable, as it can be accessed through the web. The pipeline was well received by businesses with generally positive feedback on the effectiveness of the pipeline and potential use cases. The generated emails were of good quality and of 60 responses, on average, the participants rated the emails a score of $4.11 / 5$ or “Very Accurate” and “Likely” to interact with the content of the emails, with an average score of $3.02 / 5$. The pipeline took an average of $\mathbf{1 7. 5}$ seconds per email. Using this number, it would take a business of 100 employees 29.17 minutes or a larger business with 1000 employees 4.86 hours. This level of speed and effectiveness showed that the pipeline could serve as an effective training tool for businesses.

University of Gloucestershire (GB)
Openalex Percentile: Top 56%
Spam and Phishing Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Utilising Generative AI To Improve Practical Spear Phishing Training — Abu Alam, C.C. Green · (2025) | TGRS Research Map | TGRS