Master's thesis at Fraunhofer ISST: Securely integrating AI agents into data rooms

At the Fraunhofer Institute for Software and Systems Engineering ISST in Dortmund, we conduct cutting-edge applied research for Europe as a location for digitalization with around 170 employees. We help business and society to share data confidently in data spaces and fully exploit its value - for example in healthcare, industrial manufacturing or with a view to mobility in smart cities. When will you give data new spaces?
Background to the master's thesis:
Data spaces are becoming increasingly important for the secure and sovereign exchange of data between organizations. Autonomous AI agents can play a central role in such ecosystems - for example by independently analyzing data, making decisions or interacting with other systems and participants. However, without reliable identity management , their use entails considerable risks: a lack of trustworthiness, potential misuse of data and a lack of traceability of decisions. This is precisely where verifiable identities come into play: they create the necessary basis of trust to securely integrate AI agents into decentralized data spaces - without jeopardizing the data sovereignty of the participants.
Aim of the master's thesis:
The master's thesis will investigate how autonomous AI agents can be technically and conceptually integrated into data spaces - with special consideration of existing decentralized identity management technologies. The aim is to develop possible architectures and integration scenarios that enable secure and traceable participation of AI agents in data spaces.
Further information here