[bpcrd]

Great questions.

1 - We include multiple models for GAN and non-GAN related synthetic media.

2 - Models are only as good as the training data, and most training data breaks down in the real world because hackers have access to this same open source training data. So we create our own proprietary training data which we have automated, and we continuously update it based upon emerging deepfakes that we find in the wild.

3 - We target 95% accuracy with all public and proprietary training sets. And we continuously test and iterate both the data sets and the models.

4 - Our policies require a background check on all users to filter out bad actors. We additionally have technology safeguards in place to limit improper use.