Artificial Intelligence-Powered Cybersecurity: The Future of How Threats Are Detected and Responded

View Sample PDF

Author(s): Soumya George (SGC Aruvithura, India)
Copyright: 2025
Pages: 30
Source title: Leveraging Large Language Models for Quantum-Aware Cybersecurity
Source Author(s)/Editor(s): Hewa Majeed Zangana (Duhok Polytechnic University, Iraq)and Marwan Omar (Illinois Institute of Technology, USA)
DOI: 10.4018/979-8-3373-1102-9.ch008

Keywords: Cyber and Network Security / Information Science Reference / Knowledge Management and Library Science / Natural Language Processing

Purchase

View Artificial Intelligence-Powered Cybersecurity: The Future of How Threats Are Detected and Responded on the publisher's website for pricing and purchasing information.

Abstract

Cybersecurity threats are ever-changing and characterized by more sophisticated attacks including, but not limited to, ransomware, phishing attempts, and Distributed Denial-of-Service (DDoS) attacks. Integration of Artificial Intelligence in cybersecurity is one of the pioneering methods for dealing with the new threats in the digital environment. This article highlights areas where AI technologies improve threat detection, response automation, and risk management. It discusses the challenges, ethical issues, and AI solutions in cybersecurity

The IRMA Community

Research IRM

Artificial Intelligence-Powered Cybersecurity: The Future of How Threats Are Detected and Responded

Purchase

Abstract

Related Content

IRMA Sponsors