THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING FINANCIAL DATA SECURITY
Keywords:
Artificial Intelligence, Financial Data Security, Cybersecurity, Predictive Security Analytics, Automated Threat Detection, Regulatory Compliance, Ethical AI, Machine Learning, Quantum-Resistant Cryptography, Autonomous Security , Financial InstitutionsAbstract
Artificial Intelligence (AI) has emerged as a transformative force in enhancing financial data security, offering advanced capabilities to detect, mitigate, and prevent cyber threats in the digital age. This paper explores the integration of AI technologies within the financial sector, focusing on its applications in predictive security analytics, automated threat detection, and regulatory compliance. Key topics include the fundamentals of AI in cybersecurity, challenges in securing financial data, and ethical considerations in AI deployment. Future trends such as quantum-resistant cryptography, autonomous security operations, and the evolution of ethical AI governance are also discussed. By examining current practices, emerging trends, and regulatory frameworks, this research highlights AI's pivotal role in fortifying financial data defenses and shaping the future of cybersecurity strategies. Embracing AI-driven innovations responsibly promises to strengthen resilience against evolving threats while maintaining trust, compliance, and operational efficiency in financial
ecosystems
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Copyright (c) 2024 K K Ramachandran (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
