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@article{174065,
        author = {Raj Shivaji Dhole and Aditya Rahul Kutwad and Shahfaisal Ijajnabi Gani},
        title = {Use of Artificial Intelligence and Machine Learning Techniques for Fraud Detection and Cybersecurity.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {3027-3030},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174065},
        abstract = {This Research Paper delves into the Clarification of Fraud Detection and Cybersecurity with the Help of Artificial Intelligence (AI) and Machine Learning (ML) Techniques, focusing on the Major Economic Frauds implemented by the Big institutions and Multiple Fraudulent Events in the Humankind History as a Data for the Categorization of Frauds and Learning about “How we can use the Modern Technology of Artificial Intelligence for Fraud Detection?” [1]. We are also going to Learn about various Machine Learning Techniques to Detect future possibilities of Fraudulent Behaviour. Frauds can be performed in the Various form and Large Scale for the Profits of Hefty Amounts. Key findings highlight improvements in AI adaptability, strategic decision-making, and Fraud Detection [4][6]. The research identifies gaps in real-time AI adaptability, trust-building in high-stakes environments, and fairness in transactions, aiming to advance AI capabilities in Fraud Detection scenarios [4][6].},
        keywords = {Fraud Detection, Cybersecurity, Artificial Intelligence (AI), Machine Learning (ML), Categorization of Frauds, Fraudulent Behaviour, Fraud Detection Techniques.},
        month = {March},
        }