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@article{175215,
        author = {Jaiprakash Singh Yadav and Tripty Yadav},
        title = {Advancing Bank Security with Artificial Intelligence},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {2300-2306},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175215},
        abstract = {The financial sector, especially banking, has become a significant target for various forms of cybercrime, fraud, and identity theft due to the increasing reliance on digital technologies. Traditional security methods, such as passwords and firewalls, have proven inadequate in addressing the growing sophistication of modern cyber threats. Artificial Intelligence (AI) has emerged as a powerful tool to enhance the security of banking systems by providing more advanced and efficient solutions. This paper explores how AI is revolutionizing bank security, particularly through AI-driven fraud detection, biometric authentication, cybersecurity enhancements, and predictive risk analysis. AI enables banks to detect fraudulent transactions in real-time by analyzing vast amounts of data and recognizing patterns that may indicate suspicious activity. It also strengthens customer authentication processes through biometrics like facial recognition, fingerprints, and voice recognition, providing an additional layer of security. In terms of cybersecurity, AI can detect potential threats such as malware or phishing attacks, enabling proactive responses. Additionally, predictive risk analysis powered by AI helps banks identify future security risks and take preventive measures. Despite its numerous benefits, the integration of AI in banking security also presents challenges, including concerns around privacy, bias in AI models, and compliance with regulatory standards. Financial institutions must navigate these obstacles to effectively implement AI-driven security solutions. Ultimately, AI offers banks a means to improve security, safeguard assets, reduce risks, and ensure safer financial transactions.},
        keywords = {Fraud Detection, Traditional Fraud Detection, Artificial Intelligence, Banking Security, Biometric authentication, Facial Recognition, Fingerprint Scanning, Deep Learning, Neural Network, Voice Recognition, Dynamic Time Warping, DTW, Cyberattacks, Threat Detection, Anomaly Detection, Malware Detection, Intrusion Detection Systems, IDS, Risk Assessment},
        month = {April},
        }