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.14791789
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00