Following a peer-review process, Sensors MDPI Journal has accepted to publish a scientific manuscript, co-authored by UBITECH’s Sofianna Menesidou and Dimitris Papamartzivanos (members of the Digital Security and Trusted Computing Research Group), entitled “
Automated Cyber and Privacy Risk Management Toolkit”. Dr Menesidou, Dr Papamartzivanos and their co-editors present a cyber and privacy risk management toolkit, called AMBIENT (Automated Cyber and Privacy Risk Management Toolkit) that constitutes a decision support platform that exhibits cyber risk assessment, privacy risk assessment according to GDPR terms and requirements, and cyber risk control (proactive, i.e., before threats are materialised) and mitigation (reactive, i.e., when signs of intrusions are present or new risks have been identified). At the same time, AMBIENT determines an optimal allocation of a financial budget to various cyber controls adopting the weakest link model.
AMBIENT is augmented with real-time intrusion detection capabilities to be able to derive changes in the risk that are worth to be considered by system administrators. Once these notifications are triggered, AMBIENT relies on Cybersecurity and a Privacy Risk Assessment modules, as solutions that take advantage of a variety of input data to perform the analysis and provide qualitative and quantitative scores that will advise organisations on the risks they are exposed to and the mitigation measures they can implement to reduce their attack surface. Such mitigation measures are shared with the Optimal Safeguard Recommendation module that performs further analysis and optimisation in order to compute prioritised list of remediation actions to be taken, acting as a holistic decision support cybersecurity toolkit.
For additional reading, please download (open access) our paper at
https://www.mdpi.com/1424-8220/21/16/5493
