Taking technical requirements into account from the outset
Companies face the challenge of developing AI systems that are not only high-performing, but also regulatory-compliant and technically trustworthy. To achieve this, requirements relating to data quality, risk management, accuracy, robustness and cybersecurity must be integrated into development processes, system architectures and test concepts at an early stage.
Through AI Engineering & Compliance-by-Design, VDE supports providers and developers of AI systems in translating regulatory and normative requirements into appropriate technical measures. In this way, compliance is not merely assessed at the end of the development process but is systematically considered from the outset.
The consultancy service is specifically geared towards the requirements of the EU AI Act. Among other things, this Act requires high-risk AI systems to demonstrate an appropriate level of accuracy, robustness and cybersecurity throughout their entire lifecycle. Furthermore, relevant metrics must be collected and documented in a traceable manner.
Objectively demonstrating performance
To ensure regulatory compliance, the performance of an AI system must be objectively assessed and verifiably documented. It is crucial that the metrics used are appropriate to the application context, the intended use and the potential risks.
VDE supports you in defining application-specific quality and performance requirements. Together, we develop suitable metrics, acceptance criteria, test scenarios and evaluation procedures.
Ensuring robustness
AI systems must function reliably even under unexpected or changing conditions. Our experts support you in identifying potential vulnerabilities at an early stage and systematically examining the robustness of the system.
The assessment is not limited to the trained model. It also considers data processing, system architecture, interfaces, human oversight and the integration of the AI system into the relevant product or operational process.
Taking AI-specific cybersecurity into account
AI systems may be exposed to specific security risks that go beyond traditional IT security. These include, for example, manipulated training data, altered model components and deliberately designed inputs that produce erroneous or undesirable results.
VDE supports you in identifying these threats, assessing their impact and deriving appropriate protective measures. In doing so, the consideration of cybersecurity is combined with requirements for robustness, data quality and risk management. This results in a consistent security concept for the entire AI system.
Support throughout the entire AI lifecycle
With AI Engineering & Compliance-by-Design, we consider the entire lifecycle of an AI system. Our experts are at your side from the initial concept through data management, AI model development and testing, right through to monitoring during operation.
Our support includes, amongst other things:
- Translating regulatory requirements into technical specifications,
- Assessing data, models and system architectures,
- Selecting appropriate risk mitigation measures,
- Developing verification, testing and validation strategies,
- Establishing traceable technical documentation and processes,
- Preparing downstream compliance activities, and
- assessment of the technical and regulatory burden of planned AI applications.
