Fraunhofer Institute for Experimental Software Engineering IESE
Seminar: A secure start in cloud LLMs
Basics of cloud-based Large Language Models (LLMs) for managers.
Cloud-based large language models (LLMs) offer companies enormous opportunities, but also present challenges. How do you choose the right model? What are the security risks? And how do you ensure GDPR compliance?
In this practical seminar, managers will gain an overview of different types of cloud LLMs, learn best practices for secure configuration and find out which legal framework conditions are crucial for secure use.
Information and details about the seminar
Cloud-based large language models (LLMs) open up new opportunities for companies, but also place high demands on selection, security and the legal framework. The choice of the right service and deployment model determines how LLMs can be used in the company. At the same time, risks such as data leaks, inadequate access controls or regulatory hurdles must be proactively addressed.
A basic understanding is also crucial for managers to strategically integrate LLMs into existing company structures. Best practices help to minimize security risks and ensure compliance with data protection regulations - especially the GDPR.
This practical seminar is aimed at managers who want to efficiently manage the use of LLMs in the cloud. In addition to an overview of relevant cloud models and security mechanisms, specific examples and interactive demos on Microsoft Azure will be used to work out the first steps towards developing a sustainable strategy. The aim is to make targeted use of opportunities, control risks and create a future-proof basis for the use of LLMs in the company.
Tabbed contents
Target group
Participating managers gain a basic understanding of how to strategically integrate LLMs into existing corporate structures.
- CIOs, CTOs and IT managers who want to use AI-supported solutions strategically
- Specialist and department heads who want to use LLMs to automate and increase efficiency
- Innovation drivers and digitalization managers who are driving forward the use of AI in the company
- Project managers and consultants involved in technical and organizational implementation.
There are no specific admission requirements.
Learning objectives
In addition to building up knowledge, great importance is attached to the application of what has been learned. The acquired knowledge is consolidated by working on use cases and exchanging ideas with experts and specialists.
After the seminar, participants will be able to use the approaches they have practiced to take the first steps towards an implementable strategy for their company.
After the seminar you will know ...
- ... differentiate between the most important service and deployment models of cloud LLMs and evaluate their benefits.
- ... identify security and compliance risks and initiate countermeasures.
- ... understand and implement data protection requirements (GDPR & Co.).
- ... make an informed decision about the use of cloud LLMs in your company.
- ... apply best practices for the secure configuration of cloud LLMs.
The seminar offers you ...
- ... in-depth insights into cloud-based AI technologies and their security aspects.
- ... practical use cases for secure use and compliance.
- ... interactive demo on the secure configuration of cloud LLMs.
- ... valuable exchange with our speakers and other managers.
Contents
This training course teaches basic concepts, security measures and strategic approaches for the secure and effective use of LLMs in the cloud.
The seminar is scheduled for one day.
Methology
Das Seminar wurde von den Expertinnen und Spezialisten des Fraunhofer IESE konzipiert und bereits mehrfach erfolgreich durchgeführt. Die Seminar-Teilnehmenden werden persönlich von dem Fraunhofer IESE-Team betreut und erhalten unmittelbaren Zugriff auf die Expertise aus der Forschung und Praxis.
Speaker
Jessica Chwalek completed her master's degree in computer science with a focus on “Artificial Intelligence” at the Technical University of Kaiserslautern, now known as the Rhineland-Palatinate Technical University of Kaiserslautern-Landau, in 2021. She has been a security engineer at Fraunhofer IESE since the end of 2021. She mainly deals with the topics “Data Usage Control” and “Data Privacy”. --- Jessica Chwalek obtained her Master's degree in Computer Science with a focus on Artificial Intelligence from the Technical University of Kaiserslautern in 2021. She has been working as a security engineer at Fraunhofer IESE since the end of 2021. Her primary focus is on data usage control and data privacy.
Jens Kohler
- Professor for secure software and system development at Worms University of Applied Sciences
- 4 years of practical experience as a software architect in the banking sector
- 6 years of scientific experience in the field of cloud security with 19 peer-reviewed publications related to secure cloud computing
- PhD in the field of “Secure, distributed data structures in the cloud”
Registration
Would you like to book the 1-day seminar (face-to-face or online) on flexible dates or use the in-house option?
Send us your request and you will receive suggested dates for your participation in the training.
General Terms and Conditions (AGB)
General Terms and Conditions for participation in seminars and events of Fraunhofer IESE:
Data Protection
We do, of course, treat your data confidentially and do not pass it on to third parties. You can object to the processing of your data at any time.
Costs and Invoicing
The participation fee is tax-free according to Sec 4 No. 22a of the German Value Added Tax Act (UStG).
It includes accompanying documents, the examination fee, and catering during on-site events. We do, of course, treat your data confidentially and do not pass it on to third parties. You can object to the processing of your data at any time.
Following the training, our accounting department will send an official invoice to the address provided by you.