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@article{199566,
        author = {Nahush Tanaji Thale and Assistant Prof. Himgouri O. Tapase},
        title = {Artificial Intelligence in Fraud Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {15089-15096},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199566},
        abstract = {In the current virtual world, financial frauds become too complex, such as synthetic identity theft, deep fake attacks, and account takeovers. Traditional rule-based systems fail in scaling and adapting to such situations and thus are ineffective in dealing with complex fraud strategies. Artificial Intelligence, using Machine Learning, Deep Learning, and Natural Language Processing, changes the game in fraud detection by detecting subtle patterns and anomalies in real-time. With predictive modeling, AI now allows organizations to avoid, and limit the occurrence of real fraud, while at the same time containing false positives, making for a better user experience.},
        keywords = {},
        month = {April},
        }