AI / MACHINE LEARNING

In 2020, the cyber security score will be just as important as the creditworthiness score of a company. Log analysis tools are actively used to support this cybersecurity. Contribute to a happier and safer society by means of predictive "health" check-ups for the infrastructure systems of companies.

This project will provide a better and more reliable cybersecurity base for companies by implementing AI and machine learning. This way, better security can be brought along in a predictive way.

Expected results

• Gaining new insights into a possible different approach to log collection and processing 

• A prototype of a predictive health check system

• A clear study clarifying a number of discussion points with the purpose of achieving better architecture and cost efficiency in the future

Practical

• Suitable for a team of approx. 1-2 students (master level) 
• Estimated duration of 12 weeks (1 semester)

Submitted and supported by KBC Bank