Paper Details

Name: Himanshi, Shivansh Mishra, Parichay Sharma & Aditya Raj
Country: India

Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 52-59
DOI: https://doi.org/10.5281/zenodo.18950567

ABSTRACT
New-generation digital security receives a transformation from AI-driven fraud detection because this method achieves higher accuracy and faster efficiency in real-time throughout the fast- evolving cyber environment. Today's fraud detection systems face problems and spots new security threats as they occur which results in monetary damage and reduced public
faith. The research demonstrates how artificial intelligence approaches merge into three classifications to minimize fraudulent detection inaccuracies. The key element of Explainable AI (XAI) ensures transparency through which AI- based decisions become reliably understandable by users. AI obtains immediate processing capability for large data volumes
which allows systems to detect abnormalities to deter cyberattacks during their development phase. Security systems become stronger through Artificial Intelligence because AI protects the digital space from both present and emerging fraud techniques.

General Terms
Pattern recognition, Explainable AI (XAI), Deep learning

Keywords: Artificial Intelligence, Digital Security, Cyber Attacks, Fraudulent Detection, and Digital Space.