Detecting New-Age Cyber Threats Using Artificial Intelligence Insights

master's thesis

• Author: Nina Čeko
• Mentor: Mario Spremić (mentor)
• Committee member: Božidar Jaković (član povjerenstva)
• Committee member: Ivan Strugar (član povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; Zagreb
• Defense date and country: 2023-09-26, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Economics; Business Informatics

Abstract

In an age characterized by interconnectivity and the rapid digitization of various aspects of our lives, the importance of cybersecurity has reached unparalleled levels. This comprehensive study embarks on an investigation into the dynamic relationship between artificial intelligence (AI) and cybersecurity, addressing the urgent necessity for inventive approaches to combat the ever-evolving landscape of cyber threats.

The research is meticulously organized into chapters that deeply scrutinize AI-powered methodologies designed to bolster cybersecurity. It extensively explores the versatile applications of AI in areas such as threat detection, incident response, and proactive defense, providing a clear understanding of how AI-driven insights significantly enhance cybersecurity practices.

Furthermore, this study broadens its horizons by presenting practical recommendations tailored to organizations seeking to enhance their cybersecurity readiness through the strategic integration of AI technologies. The insights and strategies unveiled in this research make substantial contributions to the progression of cybersecurity, especially in light of emerging and increasingly sophisticated cyber threats. Ultimately, these efforts contribute to fostering a digital landscape that is safer and more secure for all.

Abstract (croatian)

U doba koje karakterizira međusobna povezanost i brza digitalizacija različitih aspekata našeg života, važnost kibernetičke sigurnosti dosegla je neusporedivu razinu. Ova sveobuhvatna studija započinje istragu o dinamičnom odnosu između umjetne inteligencije i kibersigurnosti, rješavajući hitnu potrebu za inventivnim pristupima u borbi protiv stalno razvijajućeg okruženja kiberprijetnji.

Istraživanje je pažljivo organizirano u poglavlja koja duboko proučavaju metodologije koje pokreće umjetna inteligencija, a osmišljene su za jačanje kibernetičke sigurnosti. Opsežno istražuje svestrane primjene umjetne inteligencije u područjima kao što su otkrivanje prijetnji, odgovor na incidente i proaktivna obrana, pružajući jasno razumijevanje načina na koji uvidi temeljeni na umjetnoj inteligenciji značajno poboljšavaju prakse kibersigurnosti.

Nadalje, ova studija proširuje svoje vidike predstavljajući praktične preporuke prilagođene organizacijama koje nastoje poboljšati svoju spremnost za kibernetičku sigurnost strateškom integracijom tehnologija umjetne inteligencije. Uvidi i strategije predstavljeni u ovom istraživanju znatno doprinose napredovanju kibersigurnosti, posebno u svjetlu novih i sve sofisticiranijih kiberprijetnji. U konačnici, ti napori doprinose poticanju digitalnog okruženja koje je sigurnije i sigurnije za sve.

• Keywords: Artificial Intelligence; AI; Cybersecurity; Threat Detection; Incident Response; Proactive Defense; Cyber Threats; Recommendations; Security; Cyberattacks; Advancements.
• Keywords (croatian): Umjetna Inteligencija; AI; Kibersigurnost; Otkrivanje Prijetnji; Odgovor na Incidente; Proaktivna Obrana; Kiberprijetnje; Preporuke; Sigurnost; Kibernapadi; Napredak.
• Language: english
• URN:NBN: urn:nbn:hr:148:362595
• Study programme: Title: Business economics; specializations in: Marketing in english, Managerial informatics, Management, Marketing, Trade and international business, Leadership; Course: Managerial informatics; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2023-09-26 15:19:25