Organizing data related to infrastructure events and enforcing privacy and Access Control rules, including Identity Management, by translating high-level intents into configured policies, and interacting with the system response using AI techniques.
Addressing target audiences and expressing needs
- Grants and Subsidies
- Business partners – SMEs, Entrepreneurs, Large Corporations
- Collaboration
Partners working in similar fields of expertise to expand and upgrade our research results.
- Public or private funding institutions
- Other Actors who can help us fulfil our market potential
- Research and Technology Organisations
R&D, Technology and Innovation aspects
Keycloak was implemented in a Docker-based architecture, and it was already used for user authentication for most FISHY components. Moreover, it was used for application authentication, too, for the components in the SPI itself and other web services-like FISHY modules. The metrics taxonomy and security event format are in a first-draft version. The correspondent software module to implement the data organisation are fully operational. A RabbitMQ data handler, implemented in a Docker-based architecture too, was also deployed and it is ready to use. SPI also implements privacy enforcing techniques – so far, cryptographic and anonymity techniques were already tested.
The FISHY technology is based on open source technologies and custom developments. It is tested in 3 use cases: food sector, connected cars and smart factories. The business model is based on open source licensing (e.g., training, consultancy) offering premium paid features based on added value functionalities provided by proprietary IP from consortium partners.
The FISHY consortium is making available the full-stack technology over 6 KERs that are led and maintained by a subset of partners that are its IP owners and will explore the exploitation potential of those technologies or further their research pathways.
