Industrial AI Security

Munich / Murnau

I started out as a chemical technician at Roche Diagnostics GmbH in Penzberg, then switched directions and studied Computer Science, earning a Bachelor’s and Master’s degree from the University of Applied Sciences Kempten. I wrote my Master’s thesis at Siemens AG in Munich and have worked there since, now as a Research Scientist specializing in Industrial AI Security.

My work covers cybersecurity topics such as container security, mobile application security, and privacy, where I both do research and consult for internal teams. Together with colleagues, I developed and run Siemens’ internal container security trainings. Starting in 2024, Patrick Stöckle and I taught a practicum on container security at the Technical University of Munich and Hochschule München, though we’re not running it at the moment.

On the side, I also run the audio guide for the Schlossmuseum Murnau.

When I’m not working, I’m out on my road bike — riding around southern Bavaria and Austria, or at the occasional local amateur crit race.

news

Oct 28, 2026	I joined the Cybersecurity and Artificial Intelligence Innovation Impact event in Brussels, a joint European Cybersecurity Competence Centre (ECCC) and DG CNECT gathering. It was a great opportunity to meet the consortium partners of the AICYROS, AIGENTIC and GENESISAI projects and the wider European cybersecurity community.
Oct 15, 2026	Patrick Stoeckle and I presented our paper “Closing the Gap: Automated Discovery of Secure Dockerfile Reference Standards via Semantic Clustering in Enterprise Inner Source” at ASE 2026 in Munich. Jessica Hösl, our thesis student, was the main author of the paper. The paper presents an automated pipeline that analyzed 11,470 Dockerfiles from inner source repositories at Siemens AG. It shows that adopting existing internal reference implementations could improve security posture by 60.4%.
Oct 09, 2026	I’ve achieved the GIAC Certified Machine Learning Engineer (GMLE) certification! This time, I took the in-person exam at a testing center. Much better than the online proctored exams with webcams. 🤜 🤛
Apr 19, 2026	🇪🇺 Proudly using European Mistral now! Switched from Claude/Copilot → not disappointed! Vibe CLI is amazing, even if a bit rough without an extension. 🚀
Aug 28, 2025	Ditching Spotify - Using GDPR Data Export to Build Your Physical Music Collection. A Go script that analyzes your Spotify data to identify which albums to buy, complete with search links. Perfect timing with Spotify’s price hikes! 🎵💿

latest posts

Oct 15, 2026	Interesting Talks I Heard at ASE 2026 that Inspired Me
Oct 09, 2026	GIAC Machine Learning Engineer (GMLE) Certification
Aug 28, 2025	Ditching Spotify - Using GDPR Data Export to Build Your Physical Music Collection

selected publications

Closing the Gap: Automated Discovery of Secure Dockerfile Reference Standards via Semantic Clustering in Enterprise Inner Source

Jessica Hösl, Benedikt Hofmann, and Patrick Stöckle

In Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering, Oct 2026

DOI

Towards achieving confidentiality in Hyperledger Fabric

Benedikt Hofmann, Prabhakaran Kasinathan, and Martin Wimmer

In IEEE International Conference on Blockchain, Blockchain 2022, Espoo, Finland, August 22-25, 2022, 2022

DOI Bib HTML PDF

@inproceedings{DBLP:conf/blockchain2/HofmannKW22,
  author = {Hofmann, Benedikt and Kasinathan, Prabhakaran and Wimmer, Martin},
  title = {Towards achieving confidentiality in Hyperledger Fabric},
  booktitle = {{IEEE} International Conference on Blockchain, Blockchain 2022, Espoo,
                 Finland, August 22-25, 2022},
  pages = {384--391},
  publisher = {{IEEE}},
  year = {2022},
  url = {https://doi.org/10.1109/Blockchain55522.2022.00060},
  doi = {10.1109/Blockchain55522.2022.00060},
  timestamp = {Tue, 04 Oct 2022 22:39:16 +0200},
  biburl = {https://dblp.org/rec/conf/blockchain2/HofmannKW22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
}

Secure Remote Maintenance via Workflow-Driven Security Framework

Prabhakaran Kasinathan, Davide Martintoni, Benedikt Hofmann, and 2 more authors

In 2021 IEEE International Conference on Blockchain, Blockchain 2021, Melbourne, Australia, December 6-8, 2021, 2021

DOI Bib HTML PDF

@inproceedings{DBLP:conf/blockchain2/KasinathanMHSW21,
  author = {Kasinathan, Prabhakaran and Martintoni, Davide and Hofmann, Benedikt and Senni, Valerio and Wimmer, Martin},
  editor = {Xiang, Yang and Wang, Ziyuan and Wang, Honggang and Niemi, Valtteri},
  title = {Secure Remote Maintenance via Workflow-Driven Security Framework},
  booktitle = {2021 {IEEE} International Conference on Blockchain, Blockchain 2021,
                 Melbourne, Australia, December 6-8, 2021},
  pages = {29--37},
  publisher = {{IEEE}},
  year = {2021},
  url = {https://doi.org/10.1109/Blockchain53845.2021.00016},
  doi = {10.1109/Blockchain53845.2021.00016},
  timestamp = {Mon, 31 Jan 2022 14:35:12 +0100},
  biburl = {https://dblp.org/rec/conf/blockchain2/KasinathanMHSW21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
}