• Komal
• Komal ahuja

The expansion of digital financial services has heightened the complexity and number of fraudulent activity, necessitating more robust, adaptive, and intelligent detection techniques. Artificial Intelligence (AI) has emerged as a vital tool in transforming financial fraud detection by leveraging machine learning, deep learning, and natural language processing approaches. This study analyzes the varied role of AI in discovering, assessing, and preventing financial fraud in real-time. AI-driven systems offer features such as anomaly detection, behavioral profiling, transaction monitoring, and risk rating, which greatly outperform traditional rule-based techniques. Machine learning algorithms learn from enormous datasets to discover strange patterns and suspicious activities, while natural language processing aids in identifying fraud contained in text-based exchanges. Moreover, AI boosts operational efficiency by automating repetitive operations and enabling quicker, more accurate decision-making.

Artificial Intelligence, Financial Fraud Detection, Machine Learning, Behavioral Analysis, Anomaly Detection, Risk Scoring etc.

"Role of AI in Financial Fraud Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.f699-f703, August-2025, Available :http://www.jetir.org/papers/JETIR2508598.pdf

"Role of AI in Financial Fraud Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. ppf699-f703, August-2025, Available at : http://www.jetir.org/papers/JETIR2508598.pdf