Project “Development of an innovative AI module in the cybersecurity industry, dedicated to monitoring and intelligent analysis of privileged sessions in real time” is co-financed by the European Regional Development Fund under the Intelligent Development Operational Program 2014-2020, sub-measure 1.1.1 Industrial research and development work carried out by enterprises.
The project will be implemented in the time period starting on April 1, 2020 to June 30, 2022.
Project value: 3 469 418.83 PLN
The European Fund’s financial contribution: 2 632 914.80 PLN
The main goal of the project:
To develop an innovative artificial intelligence (AI) module operating in the field of cyber security. Dedicated to monitoring and intelligent analysis of privileged sessions in real time.
The result of the project:
A new product innovation – An AI module which is able to monitor, manage and analyze privileged sessions in real time using self-learning algorithms based on machine learning and AI solutions.
The AI module will be obtained by developing five self-learning classifiers – algorithms that implement both – user behavior and privileged access analysis. By combining classifiers in the AI module, it will be possible to increase privileged access security, reduce the number of cyber attacks resulting from security breaches in this area, and increase the security of sensitive and private data subject to access by privileged users. It will also be possible to automate the process of analyzing privileged sessions.
Unique features of the project’s result:
Results will be achieved thanks to various R&D tasks and efforts, which will result in product innovation – in the form of a significantly improved service, enabling comprehensive monitoring, analysis and management of privileged access.
The project is a direct response to the problems and needs of entities operating in the area of critical infrastructure, private companies, as well as public institutions. The planned solution to be developed will analyse diverse data related to privileged sessions in real-time, including, inter alia, biometric, network and semantic data, thus being able to identify anomalies during a privileged session, and to notify and prevent theft of sensitive data or a cyber attack.
The result will also allow the analysis of previously uncontrolled data related to privileged sessions, and will thus be able to bridge the existing security gaps in privileged access. In addition, the introduction of automation into the privileged session control and analysis process will significantly reduce the time needed for the process.
The implementation of innovative results of the project:
It will be carried out by introducing the results of R&D in its own operations and offering it to selected groups of recipients.
The project is co-financed by the European Union from the European Regional Development Fund under the Intelligent Development Program 2014-2020. The project will be implemented as a part of the National Research and Development Center competition: Fast track.