Everything we know about detecting synthetic media, in one place.
Guides written by the team at Resemble AI — the people who build the detection models. Plain language for non-technical readers, with enough depth for engineers who want to ship their own pipelines.
How to detect deepfakes
Detecting Audio Deepfakes in 2026
The state of audio deepfake detection — Codecfakes, replay attacks, prosodic analysis, and how DETECT-3B Omni + PerTh watermarking close the gap. A technical brief for security, fraud, and trust-and-safety teams.
ReadDetecting Image Deepfakes in 2026
The epistemological crisis of synthetic imagery — why visual inspection no longer works, how diffusion and autoregressive models defeat legacy detectors, and what DETECT-3B Omni, C2PA provenance, and frequency-domain masking do about it.
ReadDetecting Video Deepfakes in 2026
A technical brief on video deepfake forensics — the SAVe self-supervised framework, CM-GAN cross-modal attention, DETECT-3B Omni's 160+ generator coverage, and the audio-visual sync analysis that catches what single-modality detectors miss.
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Foundations
Threat intelligence
Explore
Industries
How deepfakes show up in banking, elections, insurance, and more.
Glossary
GANs, diffusion, voice cloning, face swap, liveness — defined plainly.
Laws by country
Enacted, proposed, under-debate deepfake legislation around the world.
Case studies
Real incidents, analyzed end-to-end — Arup, Biden robocall, Taylor Swift, more.
Compare tools
Honest comparisons with Hive, Reality Defender, Sensity, Intel FakeCatcher.
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