PLS White Paper: Secure AI for Industry and Business
PLS White Paper: Secure AI for Industry and Business
Cyberagentur Contributes Security Perspective to White Paper on Generative AI for Industry and Business
Dr. Daniel Gille of the Agentur für Innovation in der Cybersicherheit GmbH (Cyberagentur) contributed as a guest author to the white paper “Using Generative AI Responsibly” by the Plattform Lernende Systeme. It demonstrates how companies can use Generative AI securely, in compliance with the law, and strategically to achieve digital sovereignty.
The Cyberagentur contributes its expertise on the secure and sovereign use of generative artificial intelligence to the white paper “Using Generative AI Responsibly – Impulses for Businesses and Industry” by the Plattform Lernende Systeme (PLS). Dr. Daniel Gille, acting head of the Key Technologies Department at the Cyberagentur and head of Artificial Intelligence, contributed to it as a guest author.
The white paper classifies Generative AI as a key technology for businesses, industry, and government. It analyzes opportunities for efficiency, knowledge management, software development, and production. At the same time, it identifies risks that can arise from uncoordinated and unsecured use. These include hallucinations, data leakage, new attack vectors, dependencies on large platform providers, as well as unresolved questions regarding governance, compliance, and responsibility.
From the Cyberagentur’s perspective, this debate is relevant to security policy. Generative AI is not merely a productivity tool. It transforms digital value creation, software development, security architectures, and decision-making processes. As such, it directly impacts the technological sovereignty of Germany and Europe. Companies must therefore clarify early on how they intend to use Generative AI as users and, if necessary, develop their own specialized and more controllable solutions.
A particular focus of the white paper is on Small Language Models, or SLMs for short. These smaller language models require less computing power and can be adapted for domain-specific tasks and often operated locally. This yields benefits for data protection, data security, cost control, and digital sovereignty. Especially for sensitive industrial applications, government agencies, and security-critical processes, SLMs can be a strategic alternative to global cloud LLM offerings.
Dr. Daniel Gille: “Generative AI only offers a strategic efficiency advantage if security, traceability, and sovereignty are considered from the very beginning. Companies need more than just fast applications. They must also be able to make robust architectural decisions. Otherwise, new dependencies, new vulnerabilities, and a loss of control over data and value creation will arise.”
The white paper makes it clear: The use of Generative AI requires clear guidelines. These include security-by-design, verified training and operational data, transparent responsibilities, technical access restrictions, robust AI governance, and continuous quality control. Equally crucial is the training of employees. Only in this way can opportunities be seized without compromising security, data protection, and compliance.
For companies, the white paper offers practical guidance. SWOT analyses provide examples of how Generative AI can be evaluated in knowledge management, industrial applications, and software development. The aim is to systematically identify potential, detect risks early, and derive viable strategies from them.
Dr. Daniel Gille’s contribution underscores the Cyberagentur’s commitment to integrating research, application, and security needs at an early stage. Generative AI must be designed in such a way that it does not create new vulnerabilities, but rather enables robust, verifiable, and sovereign digital structures.
The aim of the Plattform Lernende Systeme, which was launched in 2017 by the then Federal Ministry of Education and Research (BMBF) at the suggestion of acatech, is to develop self-learning systems for the benefit of society.
Further information:
Contact:
Agency for Innovation in Cybersecurity GmbH
Große Steinstraße 19
06108 Halle (Saale)
Michael Lindner
Press Officer
Phone: +49 151 44150 645
Email: presse@cyberagentur.de
Background: Cyberagentur
The Agentur für Innovation in der Cybersicherheit GmbH (Cyberagentur) was founded in 2020 by the German Federal Government as a wholly owned in-house entity of the German Federal Government under the joint leadership of the German Federal Ministry of Defence and the German Federal Ministry of the Interior and Community, with the aim of adopting an application-strategy-oriented and interministerial perspective on internal and external security in the field of cybersecurity. Against this backdrop, the work of the Cyberagentur is primarily aimed at the institutionalized implementation of highly innovative projects that carry a high risk with regard to achieving their objectives but, at the same time, have the potential to cause significant disruption if successful.
The Cyberagentur is an integral part of the National Security Strategy of the Federal Republic of Germany.
The Cyberagentur is led by Prof. Dr. Christian Hummert, who serves as Scientific Director, and Bettina Bubnys, who serves as Commercial Director.
Wissenschaftlicher Ansprechpartner:
Dr. Daniel Gille, acting head of the Key Technologies Department at the Cyberagentur and head of Artificial Intelligence
Originalpublikation:
https://www.cyberagentur.de/en/press/whitepaper-der-pls-sichere-ki-fuer-industrie-und-wirtschaft/
Weitere Informationen:
https://www.plattform-lernende-systeme.de/files/Downloads/Publikationen/generative-ki-verantwortungsvoll-einsetzen-2026-plattform-lernende-systeme.pdf
Ähnliche Pressemitteilungen im idw
