Ensuring Data Privacy and Security in AI-Enabled E-commerce Platforms

Authors

  • Alok Reddy Jakkula Software Development Engineer, USA Author

DOI:

https://doi.org/10.47363/JAICC/2024(3)288

Keywords:

Artificial Intelligence, Data Privacy, Cybersecurity, E-commerce Security, Regulatory Compliance

Abstract

The integration of artificial intelligence (AI) into e-commerce has brought remarkable advancements, significantly enhancing how businesses interact with customers and manage operations. However, the adoption of AI technologies also introduces substantial privacy and security risks, potentially exposing consumer data to new vulnerabilities. This qualitative research paper delves into the prevalent security threats and privacy issues stemming from the use of AI in e-commerce environments. By analyzing existing challenges, the study proposes strong, effective solutions aimed at improving data protection measures. It underscores the crucial need for developing resilient security frameworks and strategies that comply with regulatory standards, all to protect user data and strengthen consumer trust in AI-enhanced e-commerce platforms.

Author Biography

  • Alok Reddy Jakkula, Software Development Engineer, USA

    Alok Reddy Jakkula, Software Development Engineer, USA.

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Published

2024-02-19

How to Cite

Ensuring Data Privacy and Security in AI-Enabled E-commerce Platforms. (2024). Journal of Artificial Intelligence & Cloud Computing, 3(1), 1-3. https://doi.org/10.47363/JAICC/2024(3)288

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