Leveraging AI and ML for Proactive Threat Detection for E-Commerce

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Author(s): Akshay Mudgal (Amity University, Gurugram, India)
Copyright: 2025
Pages: 42
Source title: Strategic Innovations of AI and ML for E-Commerce Data Security
Source Author(s)/Editor(s): Gaganpreet Kaur (Chitkara University, India), Jatin Arora (Chitkara University, India), Vishal Jain (Sharda University, Greater Noida, India)and Asadullah Shaikh (Najran University, Saudi Arabia)
DOI: 10.4018/979-8-3693-5718-7.ch012

Keywords: Business Science Reference / E-Commerce / Information Security & Privacy / Security & Forensics

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Abstract

In the fast-paced realm of e-commerce, safeguarding sensitive data is crucial for customer trust and loyalty. Traditional security measures often fall short against evolving cyber threats. Thus, integrating AI and ML technologies enhances data security. AI-powered systems can identify potential breaches in real-time, while ML algorithms improve fraud detection and authentication. AI-driven predictive analytics identify vulnerabilities, and AI-powered chatbots monitor for suspicious activities. Adaptive security frameworks dynamically adjust to evolving threats, ensuring resilience. This strategic collaboration with AI and ML helps e-commerce enterprises secure customer data and maintain a safe digital environment.

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