In recent years, digital financial transactions have surged in popularity, leading to an equally concerning rise in security threats such as identity theft, fraud, and data breaches. Harish Kumar Sriram, a well-regarded expert, advocates for an AI-driven approach to transaction security in his paper, emphasizing the use of neural networks and generative AI for proactive fraud detection. The challenges posed by rapid digital transactions necessitate moving away from outdated, static security systems in favor of adaptive, intelligent solutions that can analyze and respond to risks in real-time.
Sriram proposes using AI and neural networks to enhance transaction security and proactively detect fraud, outpacing traditional static methods.
The rise of digital transactions increases exposure to threats like identity theft and payment fraud, highlighting the need for advanced security measures.
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