Secure and Ethically Aligned AI Solutions for Cybersecurity and Threat Detection
Abstract
This paper explores the integration of artificial intelligence (AI), including machine learning and deep learning, to enhance cybersecurity threat detection and response. It addresses the critical need for these advanced solutions to be ethically aligned, ensuring fairness, transparency, and accountability. The study examines both the technical capabilities of AI in malware analysis and anomaly detection, and the ethical challenges such as bias and data privacy. By proposing a governance framework for responsible deployment, this research aims to bridge the gap between technological innovation and ethical responsibility, fostering trust in AI-driven cybersecurity systems
Fields of Study & Subjects
Adversarial Robustness in Machine Learning
Network Security and Intrusion Detection
Advanced Malware Detection Techniques
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Publisher
- IGI Global Scientific Publishing
- Pages
- 305–338
- Publication date
- 2 April 2026
- Document type
- Book chapter