Protecting the Enterprise from Deepfakes

This paper presents a comprehensive framework for detecting and mitigating deepfake threats in enterprise environments. As artificial intelligence and synthetic media technologies advance, organizations face increasing risks from sophisticated deepfake attacks targeting their operations, executives, and reputation. Through analysis of current threats, technological capabilities, and organizational impacts, we propose a multi-layered approach combining technical solutions, organizational measures, and governance frameworks. The framework emphasizes the critical role of continuous innovation and cross-industry collaboration in addressing this evolving challenge.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-03
DOI
https://doi.org/10.5281/zenodo.14791790
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Protecting the Enterprise from Deepfakes

Zenodo (CERN European Organization for Nuclear Research)
Internet of Things and AI
article

Protecting the Enterprise from Deepfakes

article en

Abstract

This paper presents a comprehensive framework for detecting and mitigating deepfake threats in enterprise environments. As artificial intelligence and synthetic media technologies advance, organizations face increasing risks from sophisticated deepfake attacks targeting their operations, executives, and reputation. Through analysis of current threats, technological capabilities, and organizational impacts, we propose a multi-layered approach combining technical solutions, organizational measures, and governance frameworks. The framework emphasizes the critical role of continuous innovation and cross-industry collaboration in addressing this evolving challenge.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Internet of Things and AI
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Protecting the Enterprise from Deepfakes · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS