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Swarna Emmadi is an Assistant Professor in the Department of CSE (AI & ML) at Narsimha Reddy Engineering College, India. Her academic interests include Artificial Intelligence, Machine Learning, and intelligent decision-support systems.
The swift digital transformation of financial services, cloud technology, Internet of Things (IoT), and e-commerce platforms has markedly heightened the intricacy and magnitude of financial risks and security vulnerabilities. Conventional risk assessment techniques, mostly reliant on human evaluation and fixed rule-based frameworks, frequently unable to detect evolving threats and fluid risk patterns instantaneously. Artificial Intelligence (AI) has surfaced as a revolutionary technology that improves risk evaluation and mitigation via predictive analytics, anomaly identification, behavioural modelling, and automated decision processes. AI-powered systems employ Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Big Data Analytics to assess financial risks, forecast fraudulent behaviours, and execute preemptive prevention measures. This chapter offers an extensive examination of AI applications in risk evaluation and mitigation, addressing key methodologies, frameworks, obstacles, and prospective research avenues within cloud-based IoT and e-commerce environments.