Loading...
Dr. Parul Saxena is the Convener and Head of the Department of Computer Science at Soban Singh Jeena University, Almora, Uttarakhand, India. Her academic interests include computer science, Artificial Intelligence, and intelligent computational applications. She contributes to research on Agentic AI for financial fraud detection and risk management.
Agentic Artificial Intelligence (AI) is revolutionising the detection of financial fraud by facilitating intelligent systems that perpetually oversee transactions, scrutinise behavioural trends, pinpoint irregularities, evaluate dangers, and orchestrate suitable reactions. In contrast to traditional fraud detection models that mainly categorise single transactions, agentic AI systems are capable of integrating observation, reasoning, decision-making, and job execution from many financial data sources. This section explores the utilisation of agentic AI in transaction oversight, fraud forecasting, anomaly identification, behavioural analysis, anti-money laundering efforts, and financial risk assessment. Multi-agent frameworks are examined for the orchestration of specialised agents tasked with transaction analysis, consumer behaviour evaluation, risk assessment, compliance oversight, and incident inquiry. The section additionally discusses elucidation, confidentiality, equity, cybersecurity, adherence to regulations, and human supervision. Assessment methodologies centred on the precision of fraud detection, rates of false positives, response duration, prevention of financial losses, and dependability of the system are taken into account. Innovative technologies like federated learning, graph-based intelligence, foundational models, and autonomous risk orchestration are examined for the creation of reliable and adaptable financial security frameworks.