How AI is being introduced responsibly in sensitive areas
The use of AI in critical infrastructures, such as energy supply, healthcare, finance, or administration, offers great opportunities, but also poses special challenges for organizations. In regulated environments, AI solutions must not only function, but also be traceable, secure, and compliant. In the KRITIS sector in particular, we often see AI projects stalling when data quality, governance, or regulatory guidelines are lacking, or when IT, specialist departments, and compliance do not work closely enough together.
AI is successful when organizations clearly prioritize, assess risks in a structured manner, and select use cases that are both technically feasible and regulatory auditable – in line with requirements such as the EU AI Act. The key is an approach that combines security, transparency, and practical feasibility.
This is exactly where the CyberForum's AI Innovation Lab, a collaborative project within the AI Alliance, comes in: We provide guidance in the complex regulatory environment, develop viable AI concepts, and support critical infrastructures in introducing AI in a secure, responsible, and effective manner.
Challenges in AI projects
- Governance & compliance: Uncertainty about how AI is compatible with regulations such as the EU AI Act, data protection, and KRITIS rules.
- Need for transparency and auditability: AI must be traceable and low-risk in sensitive areas.
- Distributed data and complex IT landscapes make it difficult to use AI models securely.
- Uncertainty in selecting suitable AI use cases: What is technically feasible, legally permissible, and organizationally viable?
Our approaches to solutions
- AI governance & policies: Develop clear guidelines, roles, and decision-making processes for regulated environments.
- Define secure, auditable AI use cases that are technically feasible, regulatory resilient, and risk-assessed.
- Assessing data quality and risks: Realistic analysis under KRITIS, security, and compliance requirements.
- Bringing IT, departments, and compliance together to enable joint decision-making.
- Consult suitable implementation partners with experience in critical infrastructures and high security requirements.
Our formats for regulated industries & critical infrastructures
Free initial consultation & AI readiness check
In the initial consultation, we clarify which AI application areas are realistic and permissible in your regulated environment, which questions exist regarding compliance, governance, and risk, and which internal requirements must be met. We show you which steps lead to a regulatory-compliant AI roadmap.
AI strategy and governance
We develop an AI strategy that combines technical feasibility, risk requirements, and regulatory guidelines such as the EU AI Act, data protection, and auditability. In doing so, we define roles, responsibilities, control mechanisms, and processes that are necessary for the safe and transparent use of AI in critical infrastructures.
Development of AI use cases
Energy and utility companies benefit from forecasting and anomaly detection, healthcare and social services from documentation or case support, and financial service providers from risk assessments and fraud detection. However, it is crucial in all areas that AI functions securely, transparently, and in compliance with regulations. We therefore only identify use cases that are economically viable, technically feasible, and compatible with compliance, data protection, and audit requirements.
Mediation of implementation partners for regulated AI projects
We connect you with partners who have practical experience in critical infrastructures and regulated industries—from research institutions and specialized AI providers to integrators for secure systems. We assist with the tendering and selection process and ensure that technical architecture, risk requirements, and compliance conditions are met.
Employee training & enablement
With our customized concepts, executives, specialist departments, and technical teams receive target group-specific training on governance, the EU AI Act, risk and responsibility models, safe AI use, documentation, bias detection, and testing processes.
Startup cooperations & venture clienting
Startups can also provide valuable impetus in critical infrastructures, for example with solutions for documentation, forecasting, anomaly detection, or case processing, often with on-premise options and clear governance and audit mechanisms. CyberLab gives you access to vetted startups with experience in security, data protection, and compliance requirements.
Funding advice
Funding programs can also facilitate the introduction of AI in critical infrastructures. We examine which programs are suitable and support you in aligning requirements from security, data protection, governance, and the EU AI Act with the funding criteria.
Your contact person
Inspiration & practical examples from sensitive areas
Voices from the field
As I walked out of the cell through the door towards freedom, I knew I had to leave my bitterness and hatred behind or I would remain a prisoner for life.
Those who give up freedom in order to gain security will end up losing both.
Freedom is like the sea: the individual waves are not very powerful, but the force of the surf is irresistible.
Marlies Schwarz: Let's work together to find out how AI can bring concrete benefits to your company.
- Customer Success Manager
- marlies.schwarz@cyberforum.de
- +49 721 602 897 664