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Deepfake technology presents unique challenges to corporate environments, with implications ranging from reputational damage to financial loss. In this chapter, we explore the detection of deepfakes within corporate settings, focusing on state-of-the-art technological solutions and the role of AI and machine learning in detection. The study adopts a qualitative approach to provide a roadmap for managers seeking to mitigate the impact of deepfakes on their organizations. It draws from recent literature and technological advances to offer a comprehensive overview of deepfake detection methodologies, tools, and frameworks, providing insights into their practical applications. The chapter concludes by presenting actionable recommendations for corporate leaders to safeguard their companies against the threats of synthetic media.

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Detecting Deepfakes in the Corporate Environment: Navigating Risks and Leveraging AI Solutions for Enhanced Security

  • 章节

  • 发表日期：

    2025年

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  • Swapnil Morande,
  • Veena Tewari,
  • Shaik Mastanvali,
  • Mitra Amini,
  • Mohit Kukreti

摘要

Deepfake technology presents unique challenges to corporate environments, with implications ranging from reputational damage to financial loss. In this chapter, we explore the detection of deepfakes within corporate settings, focusing on state-of-the-art technological solutions and the role of AI and machine learning in detection. The study adopts a qualitative approach to provide a roadmap for managers seeking to mitigate the impact of deepfakes on their organizations. It draws from recent literature and technological advances to offer a comprehensive overview of deepfake detection methodologies, tools, and frameworks, providing insights into their practical applications. The chapter concludes by presenting actionable recommendations for corporate leaders to safeguard their companies against the threats of synthetic media.