A “fakeness score” could help people identify AI generated content

• New deepfake detection tool helps to crack down on fake content
• A “deepfake score” helps users spot AI generated video and audio
• The tool is free to use to help mitigate the impact of fake content

Deepfake technology uses artificial intelligence to create realistic, yet entirely fabricated images, videos, and audio, with the manipulated media often imitating famous individuals or ordinary people for the use of fraudulent purposes, including financial scams, political disinformation, and identity theft.

In order to combat the rise in such scams, security firm CloudSEK has launched a new Deep Fake Detection Technology, designed to counter the threat of deepfakes and provide users with a way to identify manipulated content.

CloudSEK’s detection tool aims to help organizations identify deepfake content and prevent potential damage to their operations and credibility, assessing the authenticity of video frames, focusing on facial features and movement inconsistencies that might indicate deepfake tampering, such as facial expressions with unnatural transitions, and unusual textures in the background and on faces.

The rise of deepfakes but there is a solution

Audio analysis is also used, where the tool detects synthetic speech patterns that signal the presence of artificially generated voices. The system also transcribes audio and summarizes key points, allowing users to quickly assess the credibility of the content they are reviewing. The final result is an overall “Fakeness Score,” which indicates the likelihood that the content has been artificially altered.

This score helps users understand the level of potential manipulation, offering insights into whether the content is…