Deepfake statistics (2024): 25 new facts for CFOs

A deepfake is a type of synthetic media created using artificial intelligence, typically altering videos or images to depict someone saying or doing something that never occurred.

Deepfakes use deep learning algorithms to analyze and manipulate existing images and videos. They employ techniques like generative adversarial networks (GANs) to generate highly realistic but fake media.

Deepfakes are used in cybercrime for various malicious purposes such as fraud, political manipulation, and blackmail. They can impersonate individuals to gain access to sensitive information or manipulate public opinion.

Look for signs such as unusual facial expressions, unnatural movements, low video quality, inconsistent audio, and asymmetries in the image or video. Asking specific questions or verifying with additional information can also help confirm authenticity.

To protect against deepfake scams, individuals and businesses should implement multi-factor authentication, regularly update passwords, keep devices updated, implement corporate controls like call-back procedures, and maintain a healthy skepticism by questioning and fact-checking all interactions.