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@article{184553,
        author = {Mahi Panjwani and Charitha NL and Dr. Goldi Soni},
        title = {AI in Cybersecurity Today: Detection Systems, Security Frameworks, and Ethical Considerations},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {1913-1918},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184553},
        abstract = {This review paper carefully examines how artificial intelligence is being applied to strengthen cybersecurity in response to increasingly complex threats reported in the past five years. The paper survey emphasizes on 45 peer-reviewed studies and several industry white papers, with insistence on AI-focused intrusion detection, automated malware classification, and predictive risk assessment. As the cyber threats continue to grow in sophistication, AI-focused solutions for threat hunting, automated malware analysis, and incident response are becoming necessary components of modern security frameworks. The process followed in this study is to conduct a broad review of literature, papers, cases, and reports relating to AI-based cybersecurity solutions, covering IDS, automated malware detection, and risk assessment frameworks with an AI focus. The findings highlight the pros and cons of AI such as better accuracy in detection and automation as well as potential problems involving algorithm bias, data privacy and overreliance on automated processes. The paper states that AI has a huge potential to enhance cybersecurity, future work should research on transparent and explainable models, as well as on fighting always against the most recent cyber threats.},
        keywords = {AI, Threats, Threat detection, Cybersecurity, IDS, Malware, Risk Management, Machine learning, AI-Security Frameworks.},
        month = {September},
        }