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@article{187511,
        author = {Nikul Zinzuvadiya and Jeet Gajjar and Karan Makwana and Princy Rathod and Sanjay Dihora},
        title = {Trustworthy AI in Cybersecurity: Ethical Challenges, Privacy Risks, and Governance Gaps in Autonomous Defense Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {5700-5711},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187511},
        abstract = {Artificial Intelligence (AI) has become a central pillar of modern cybersecurity, enabling rapid threat detection, predictive analytics, and automated response mechanisms that outperform traditional rule-based defenses. However, the integra- tion of AI into security operations introduces a complex set of eth- ical, legal, and socio-technical challenges. This review synthesizes insights from recent research to examine how AI-driven cyber- security systems both strengthen digital defense capabilities and create new risks related to privacy, transparency, fairness, and accountability. Key themes include algorithmic bias, surveillance concerns, adversarial vulnerabilities, opaque decision-making, and the limitations of existing governance frameworks such as the GDPR, CCPA, and EU AI Act. The paper further highlights emerging issues involving autonomous cyber defense systems, dual-use threats, and gaps in human–AI oversight. By identifying current research limitations and proposing future directions, this review emphasizes the need for privacy-preserving techniques, fairness-aware models, explainable AI, robust legal accountability structures, and human-centered governance. The study concludes that achieving a balance between automated defense and data protection is essential for the ethical and trustworthy deployment of AI in cybersecurity.},
        keywords = {Artificial Intelligence, Cybersecurity, Ethics, Privacy, Bias, Explainable AI, Governance, Adversarial Attacks, Autonomous Systems.},
        month = {November},
        }