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Deepfake

A deepfake is any image, video, or audio that shows a person doing something they never actually did. The name is a portmanteau of the word “deep learning,” which is the machine-learning technique used to generate the images and the word “fake.” Deepfakes are also broadly called synthetic media

Fraudsters use deepfakes to bypass verification and authentication systems so they can:

  • Create fake accounts

  • Access accounts that aren’t theirs 

  • Access sensitive data (personal, financial, health, etc.)

  • Complete or authorize fraudulent transactions

  • Create a synthetic ID

  • and more

Frequently asked questions

How do deepfakes work?

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To create a deepfake, a bad actor first feeds image or audio samples of a real person into a neural network or generative adversarial network (GAN). These samples are used to train the network, which can then generate synthetic media.

How can a deepfake be identified?

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Although deepfakes are becoming harder to detect, some indicators to watch out for include:

  • Odd reflections

  • Irregular lighting

  • Flickering edges

  • Inconsistent color or shading

  • Small details being out of place

  • Audio that’s out of sync