Question 1

What is a Deepfake?

Accepted Answer

A deepfake is an AI-generated image, video or audio. It can depict people, objects, or events in ways that did not actually occur but appear to be real.

Question 2

How does your Deepfake Detection work?

Accepted Answer

Our Deepfake Detection uses multiple AI models to analyze subtle patterns in media such as inconsistencies in lighting, facial movements, or compression artifacts that reveal signs of manipulation. Additionally, physical properties, metadata and watermarks can be checked, and a reverse image search can provide insights into the image's origin.

Question 3

How accurate is your Deepfake Detection?

Accepted Answer

Our multi-detector framework achieves >98% accuracy on common benchmarking datasets, and provides visual explanations for every prediction. While real-world scenarios can be more challenging, we actively monitor weaknesses and continuously improve our system to ensure it remains robust and reliable in the wild.

Question 4

Do you provide an on-premise solution or API access?

Accepted Answer

We provide both options: an on-premise solution for cases where data must remain in-house, and a cloud-based API that integrates seamlessly into your existing workflows.

Question 5

Can your tool detect deepfakes in real-time?

Accepted Answer

Yes, our soft- and hardware is optimized for high performance and can detect deepfakes in real-time or batch-process large volumes of content, depending on your needs.

Question 6

Is your deepfake detection solution GDPR compliant?

Accepted Answer

Yes, we prioritize data privacy and ensure our solutions comply with GDPR and other data protection regulations.

Question 7

Who can benefit from deepfake detection?

Accepted Answer

Our solution is designed for law enforcement, media companies, content platforms, financial institutions, and anyone needing to verify the authenticity of digital media.