Negotiated Procedure - Maximum budget €80.000,00
In order to support the drafting of regular EU cybersecurity situation reports, ENISA aims at procuring the development of a prototype to automate the classification of high-level cybersecurity documents as well as the automatic generation of situation reports using Natural Language Processing (NLP) and Machine Learning (ML) algorithms.
The prototype is expected to be able to parse a fixed data set of common file types and internet sources, weighting information relevance against an evolving standard base, offering analysts the ability to query simple keywords and obtain a basic document structure filled with existing sentences related to each section, based on information relevance weights. The prototype should be developed as a scalable and expandable system, capable of meeting the needs required for the following stages of the project.
If you are interested in being invited to take part in this upcoming tender procedure, then please 'submit your interest'.