The growth of digital financial services has brought convenience but also increased sophisticated fraud. Traditional rule-based systems often fail to detect evolving cyber threats effectively. This paper explores how Artificial Intelligence (AI) serves as a transformative solution. By using machine learning algorithms and real-time data analytics, financial institutions can now identify unusual patterns, detect potential fraud faster, and reduce false positives. AI-driven systems continuously learn from new data, adapting to emerging threats and improving operational efficiency. The study highlights that integrating AI not only strengthens fraud detection mechanisms but also builds user trust, ultimately safeguarding the digital financial ecosystem.
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