Διαχείριση κινδύνων ασφαλείας και ιδιωτικότητας σε συστήματα τεχνητής νοημοσύνης

Αλέστας, Βασίλειος

Security and privacy risk management in Artificial Intelligence systems

Master Thesis

Author

Αλέστας, Βασίλειος

Date

2026-01-15

Abstract

The development of Artificial Intelligence (AI) systems in critical areas of society has brought up new challenges related to information security and privacy protection. Due to their dependence on large volumes of data, their complexity, and their dynamic behavior, these systems introduce risks that are not adequately covered by traditional risk management approaches. In this context, this thesis systematically examines security and privacy risk management in Artificial Intelligence systems. First, the basic concepts of Artificial Intelligence are presented, as well as its impact on society and the regulatory environment. Next, the main security and privacy risks that arise during the life cycle of AI systems are analyzed. At the same time, the risk management and assessment process is presented, based on international standards and frameworks, such as ISO and NIST, as well as the role of Regulatory Frameworks for Artificial Intelligence, such as the European AI Act. Finally, the paper examines contemporary risk mapping and classification frameworks, such as Plot4AI, MITRE ATLAS, and AI Risk Taxonomy, which contribute to the understanding and mapping of the risks governing this technology, and leads to conclusions and future considerations.

Postgraduate Studies Programme

Κυβερνοασφάλεια και Τεχνολογίες Τεχνητής Νοημοσύνης / MSc Cybersecurity & AI Technologies

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών Συστημάτων

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/19143

Collections

Τμήμα Ψηφιακών Συστημάτων

Show full item record

Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα