AI Compliance
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Introduction to the requirements of the EU AI Act
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Evaluation of applicability
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Identification of necessary measures
- Classification of your AI application according to the EU AI Act
- Determination of the required testing level
- Optional: Creation of a roadmap for achieving compliance
- Identification of compliance gaps & risk areas
- Gap analysis of an Artificial Intelligence Management System (AIMS)
- Evaluation based on a use case
- Support in the development or updating of internal audits & guidelines for the use of AI
- Creation of an implementation guide
- Review of currently deployed AI systems & practices
- Identification of compliance gaps & risk areas
- Delivery of the results in the form of a detailed test report
- Trainings and workshops with regard to the requirements of the EU AI Act, ethical AI development and best practices for compliance
AI Trainings
Would you like to expand your knowledge regarding the basics of AI? No problem!
Our AI training courses will introduce you to the world of artificial intelligence, shed light on possible areas of application and the potential, but also the challenges and limitations of this new technology. You will learn more about how it works and the basic principles and receive valuable ideas on how you can use AI in your company.
In addition to the basics, we also offer trainings with an individual, specific focus.
Possible are for example:
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Secure or robust AI development
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AI risks & vulnerabilities
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Robustness risks & requirements
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AI-specific data protection requirements
AI Red-Teaming
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Introduction to the requirements of the EU AI Act
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Identification of necessary measures
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Development of further steps
- Evaluation of your AI application for classification under the AI Act
- Generation of a risk assessment report
- Optional: Development of a roadmap for compliance based on risk levels
- Training and workshops on the risks and vulnerabilities of AI, secure development and best practices
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Execution of technical pentests
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Comparison with the requirements according to OWASP Top 10 for Large Language Model Applications
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Receipt of a detailed test report
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Optional: Recommendations for action to achieve compliance
- Execution of technical pentests
- Comparison with the requirements according to OWASP Top 10 Machine Learning Security Risks
- Receipt of a detailed test report
- Optional: Recommendations for action to achieve compliance
AI Robustness Check
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Implementation of a scoping workshop
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Identification of necessary measures
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Definition of requirements
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Development of further steps
- Evaluation of the robustness risks of your AI application
- Generation of a risk assessment report
- Optional: Development of a roadmap for compliance based on risk levels
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Testing according to our Trusted Product Scheme (including technical in-depth testing)
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Testing according to existing regulations & adaptation of AI requirements
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Development of an implementation guide
- Technical in-depth check of the robustness of your AI system
- Optional: Recommendations for achieving compliance
- Trainings or workshops on relevant robustness risks/requirements, robust AI development and best practices
AI Privacy Check
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Identification of necessary measure
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Development of further steps
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Technical reconstruction of sensitive data from AI-based pseudo-anonymization methods
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Technical reconstruction of sensitive data from the training data of AI systems
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Final evaluation by experienced data privacy experts
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Providing technical proof that personal data has been "forgotten" by the AI model
- Evaluation of the (residual) risk of the entire system
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Assessment of GDPR and AI-specific requirements (e.g. robustness, red teaming, AI Act)