Smart Data Privacy

Individual AI-supported data protection services

The challenge you face.

Data breaches can have serious consequences for companies and organizations, including financial damage or loss of reputation. Under Art. 83 para. 5 of the GDPR, fines can amount to up to 20 million euros or 4% of a company’s global annual turnover, whichever is higher. In addition, breaches of the GDPR can also have an impact on trust among customers and business partners, leading to long-term damage and potential loss of business. The implementation of artificial intelligence (AI) can lead to an intensification of the risks if it is not handled properly.

Personal data is particularly worthy of protection and is subject to the General Data Protection Regulation (GDPR). This regulation has been in place for some time and brings with it clear obligations for companies and organizations. However, the implementation of these obligations is often inadequate, a fact which raises the risk of data protection violations. For example, the rights of data subjects, such as access, rectification, erasure and data portability, must be guaranteed effectively and promptly. In IT systems that have grown organically over many years, however, it is often difficult to trace where personal data is stored and what it is used for. In addition, analysis of personal data requires the express consent of data subjects. If this is not given, it must be ensured that no personal data is incorporated in the analyzed data sources.

The introduction of new technologies such as artificial intelligence (AI) also creates previously unknown risks in relation to the GDPR. If an AI-supported knowledge database or a chatbot comes into contact with personal data in an uncontrolled manner, this may result in an unconscious breach of the regulation. Unintentional data leakage by internal actors (the “inside job” problem) can also pose a significant risk. To prevent this, comprehensive security measures are required, something infodas offers using state-of-the-art methods. The development of effective data governance rules to prevent data leakage is a major challenge for many companies due to the complexity of their systems. In addition, the implementation of organizational and technical security measures anchored in rules often requires extensive adjustments and investments in existing IT systems.

Our offer.

Reduction of the data protection risk

Reducing the risk of data protection breaches through comprehensive measures.

AI-supported data identification

Automated retrieval and identification of personal data using trusted AI technologies.

Data anonymization

Anonymization of personal data to ensure the principle of purpose limitation and allow data to be exchanged without delay.

Protection against data leakage

Detection of unknown data flows and preventive protection against data leaks through conscious and unconscious responses.

Detection of data protection hotspots

Localization of network segments and storage sites with a high density of personal data.

Data protection compliance for AI applications

Preventing the integration of personal data in and from AI applications such as knowledge databases.

Advice on data governance

Support in establishing effective and practicable data management to comply with the GDPR.

Approach

Thanks to our data-driven approach, we are able to provide you with comprehensive advice on practical data protection issues. Based on the principle of trustworthy AI, we are able to automatically detect personal content within unstructured data such as continuous text. This enables us to efficiently support you with your intentions and problems.

Using our established, tried-and-tested approach, we can not only help you to identify documents containing personal data, but also to recognize related information such as addresses and employers that are often not captured by other methods. This produces traceable results and enables data to be exchanged without delay by specifically removing or redacting critical information without losing the overall context of the document. The processes we have developed can be flexibly adapted to your domain and its specific challenges. This ensures that the solution is optimally tailored to your individual requirements and the challenges you face.

Using advanced Natural Language Processing (NLP) and Deep Learning (DL) techniques, our processes aim to identify information relevant to the protection of personal data without becoming a data protection risk themselves. When developing our processes, we pay particular attention to resource efficiency and local workability. This ensures fast processing without creating a dependency on cloud services or external data centers.

We actively conduct research in the field of AI and regularly share our findings with the scientific community at conferences. We are currently working on context-based differentiation between GDPR-relevant natural persons and other groups of people. This research enables us to continuously and significantly reduce the false alarm rate.

Our AI offering:

Progressive, individual and solution-oriented!

Our value proposition.

infodas has been one of the leading hardware, software and consulting companies for information and cybersecurity in Germany since 1974. In addition to a holistic consulting approach, we use forward-looking, locally operating AI technologies to support you in an efficient, data-driven and GDPR-compliant way to deal with your goals and issues.