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Hello AI ✨
Welcome to Data Privacy & AI - your professional partner for the implementation of the requirements of the AI Regulation (EU AI Act) including certification support.
The entry into force of the AI Regulation (EU AI Act) brings new challenges for companies that must be integrated into business processes in order to manage and control the risks resulting from AI applications. In addition, companies must demonstrate that they are using AI responsibly.
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Consulting services & know-how transfer
Practice and process-oriented advice and support to implement the requirements of the GDPR, AI Regulation, Data Act, Cyber Resilience Act & NIS II.
Auditortrainings
TRECCERT Training Courses and related examinations for ISO/IEC 27001, ISO/IEC 42001, ISO 22301, ISO/IEC 20000-1, ISO/IEC 27005, ISO 37301, ISO 19011, ISO 14001 AND GDPR
AI management systems based on ISO/IEC42001:2023
Management systems guide and steer processes and standards within the company. Based on the high-level structure for international standards, we develop standards and processes based on ISO/IEC42001.
Audit preparation ISO/IEC42001:2023
The new ISO/IEC42001:2023 is intended to signal to various stakeholders that the company is handling AI in a trustworthy and responsible manner. In order to pass the certification audit, audit preparation is very important.
AI-Literacy (Trainings & Workshops)
Regular training to develop and maintain AI skills is essential. Depending on the industry, area of application and risk level of the AI systems, all employees need sufficient AI skills.
Certification support
In connection with AI, new certifications are coming our way for manufacturers, distributors, providers or operators of AI systems.
Implementation of the requirements of the AI Regulation
The implementation of the AI Regulation (AI Regulation) requires a comprehensive adaptation of the legal framework and processes within companies for the use of artificial intelligence in the EU.
First, companies must ensure that their AI systems are transparent and accountable. This means that users must be clearly informed about how decisions are made by AI.
Furthermore, strict security and data protection requirements must be observed. High-risk AI applications must undergo a thorough risk assessment before they are launched on the market. Implementing monitoring and reporting mechanisms is also crucial to identify and minimize potential risks at an early stage.
Finally, training and further education must be provided for employees to ensure a comprehensive understanding of the new regulations and their practical implementation. The AI Regulation aims to create a safe and ethical environment for the development and use of AI technologies and to strengthen public trust in these systems. Role analysis according to the AI Regulation - manufacturer, provider, marketer, operator.
Furthermore, strict security and data protection requirements must be observed. High-risk AI applications must undergo a thorough risk assessment before they are launched on the market. Implementing monitoring and reporting mechanisms is also crucial to identify and minimize potential risks at an early stage.
Finally, training and further education must be provided for employees to ensure a comprehensive understanding of the new regulations and their practical implementation. The AI Regulation aims to create a safe and ethical environment for the development and use of AI technologies and to strengthen public trust in these systems. Role analysis according to the AI Regulation - manufacturer, provider, marketer, operator.
Data Privacy & AI supports companies with the following topics:
- Role analysis according to AI-VO
- Requirements analysis according to AI-VO
- Risk analysis based on the risk classification according to KI-VO
- Implementation of AI management systems
- Implementing AI governance software
- Risk management
- Training management
- Audit management including development of internal control system