COUNTERING AI-GENERATED CYBERATTACKS: NEW THREATS AND DEFENSE METHODS
Abstract
The paper examines modern cyberattacks supported by artificial intelligence (AI) technologies, as well as methods for countering them. The nature and scale of threats are analyzed, including attack automation, AI-driven phishing, generation of deepfakes, autonomous operations, and the use of AI to bypass traditional security measures. Special attention is given to defense mechanisms such as AI-based anomaly detection, Explainable AI (XAI), behavioral analysis, and innovative cyber defense tactics. The study substantiates the need to develop new approaches to protecting digital systems and to enhance the level of training of cybersecurity specialists.
References
The Rise of AI-Powered Cybersecurity Threats and the Evolution of Defense Mechanisms. IJRASET Journal.
IJRASET
AI-Powered Cyberattacks: A Comprehensive Review and Analysis of Emerging Threats. Advances in IT and Electrical Engineering.
Prz Journals
Enhancing Cybersecurity through AI-Powered Security Mechanisms. IT Journal Research and Development.
journal.uir.ac.id
AI will make scam emails look genuine, UK cybersecurity agency warns — The Guardian.
The Guardian
OpenAI warns new models pose ‘high’ cybersecurity risk — Reuters.
Reuters
Inside the AI-powered assault on SaaS: why identity is the weakest link — TechRadar.
TechRadar
Vastav.AI — deepfake detection system.
Wikipedia
Emerging AI threats in cybercrime: zero-day attacks. Knowledge and Information Systems.
link.springer.com
Explainable Artificial Intelligence Applications in Cyber Security.
arxiv.org
Cyber threats & AI risk analyses (Arkose Labs survey).
Axios
