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Role of Artificial Intelligence in Cybersecurity: Innovations and Challenges

In: AI in Finance Shaping the Future of Intelligent Automation and Financial Services

Author

Listed:
  • Prabhjeet Kaur
  • Amandeep Kaur
  • Ramandeep Sandhu
  • Deepika Ghai
  • Veer P. Gangwar
  • Lokesh Jasrai

Abstract

In cybersecurity, artificial intelligence (AI) has widely transformed financial systems, enhancing automated security measures against cyber threats. This chapter examines how AI builds a more secure financial system. Identifying weaknesses, halting cyber threats, and preventing automated financial processes from grinding to a halt. Machine learning (ML), natural language processing (NLP), and predictive analytics help financial institutions detect unusual activities. This will prevent fraud and quickly detect threats when AI is used. The major discussion in this chapter is on how AI methods can be used in threat intelligence, compliance, and risk management. The discussion includes real-world examples of how these innovations help solve difficult cybersecurity problems using an AI-based fraud detection system and a secure blockchain transaction platform. This chapter also highlights the common challenges faced by cyber-automation systems: the use of AI, its technical, ethical, and regulatory considerations, and their impact on its use. We also consider significant examples of how AI protects financial systems. With these examples in mind, one can better understand the real-world advantages and disadvantages of today’s AI solutions. The chapter discusses upcoming developments (such as improvements in quantum computing and smarter AI systems) and provides us with different perspectives to examine how AI might transform its role in cybersecurity. This chapter provides a complete picture of how AI can secure financial systems by helping researchers, professionals, and decision-makers realize both the potential of AI and the challenges that exist in terms of using AI to deal with new cybersecurity threats. The chapter also discusses some noteworthy examples of applying AI to protect financial systems and reveals the practical advantages and disadvantages of existing solutions. It also examines future trends related to quantum computers and adaptive AI systems.

Suggested Citation

  • Prabhjeet Kaur & Amandeep Kaur & Ramandeep Sandhu & Deepika Ghai & Veer P. Gangwar & Lokesh Jasrai, 2026. "Role of Artificial Intelligence in Cybersecurity: Innovations and Challenges," World Scientific Book Chapters, in: Krishan Arora & Himanshu Sharma (ed.), AI in Finance Shaping the Future of Intelligent Automation and Financial Services, chapter 9, pages 185-232, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9781800618428_0009
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    JEL classification:

    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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