Comparative Analysis of Deepfake Detection Methods

As AI-generated deepfakes become increasingly sophisticated, the ability to distinguish authentic content from manipulated media is critical to maintaining digital trust and protecting organizations from emerging cyber threats. This research investigates the effectiveness of both human perception and AI-driven deep learning models in detecting deepfake images, providing valuable insights into the evolving landscape of AI-powered deception.

The study demonstrates that advanced deep learning models significantly outperform human detection capabilities, highlighting the growing role of artificial intelligence in strengthening cybersecurity, combating misinformation, and supporting the development of more resilient digital defense strategies.