The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Generative AI for Cybersecurity: An Introduction
Abstract
The intersection of cybersecurity and generative artificial intelligence (AI) has become a crucial frontier as the digital landscape changes. By examining the interaction between AI-powered attacks and defence mechanisms and concentrating on applications like anomaly detection, synthetic data generation, automated incident response, and forensics, the chapter examines the potential of generative artificial intelligence (AI) in redefining conventional cybersecurity paradigms. In order to reduce the hazards associated with deepfakes and synthetic media, the chapter discusses the examination of adversarial machine learning techniques and strategies. Along with offering guidance on incorporating AI into security operations, encouraging human-AI cooperation, and building strong AI skills, it also discusses the ethical ramifications of AI-driven security procedures. It also serves as a comprehensive guide for security professionals, researchers, and decision-makers, offering a holistic understanding of the synergies between AI and cybersecurity.
Related Content
|
P. V. Naveen, A. Poongodi.
© 2026.
24 pages.
|
|
Sathya Selvaraj Sinnasamy, S. Kamaleswari, U. Surendar, Biswaranjan Senapati, B. Vaidianathan, M. Gandhi.
© 2026.
14 pages.
|
|
B. Aarthi, A. Smruthi, Pamireddy Thanishka, G. Sakthi Prasanna, P. Mahendran.
© 2026.
18 pages.
|
|
R. Radhika, A. Muthukumaravel.
© 2026.
24 pages.
|
|
R. Regin, K. Lalith Reddy, R. Sanjay Narayanan, Y. Likhith Srinivas, R. Steffi, S. Saranya, S. R. Saranya.
© 2026.
26 pages.
|
|
R. Saranya, S. Silvia Priscila.
© 2026.
20 pages.
|
|
Manjunath Singh H., R. Tanuja.
© 2026.
28 pages.
|
|
|