What makes DETECT-World revolutionary?
New generative models launch every day, making it harder to catch deepfakes with detection trained only on known signatures. DETECT-World changes that by combining artifact-based detection with physics-based reasoning — understanding lighting, motion, timing, and physics to recognize when something doesn't match reality, even from tools that launched today. The result is detection built to catch zero-day deepfake attacks, not just known ones. Watch the video to learn more.
Transcript:
A phone call with a manager. A reimbursement receipt. A video call with a candidate. Things your average employee encounters everyday. Everything looks and sounds real. But it’s not.
AI companies that enable hyper-realistic deepfakes launch thousands of new models and variants every single day. So how do you catch something made by a tool that just launched today?
Our detection model worked like a forensic expert, examining content closely, hunting for the tiny traces of AI tells left behind like an artifact. It's fast. It's precise. But it has to have seen that signature before to quickly deliver an accurate verdict.
Today, we introduce DETECT-World, the first world model for deepfake detection. Same forensic expert, but now, it also understands how the real world works. Lighting. Motion. Timing. Physics. Now, our detection asks two questions at once: "Do I recognize this?" And: "Does this make sense in the real world?"
Artifact-based detection is excellent at catching known techniques. It’s precise, down to details most people, and tools, would miss. Physics-based detection is excellent at catching something brand new. Not because it's checking against a known list, but because it's checking against reality itself. And the better generative models get at mimicking reality, the more detection needs to understand it too. Together these approaches — precision on recognizable threats, and broader coverage on the new ones — are what makes DETECT-World built to cover zero-day attacks.
At Resemble AI, we believe that not all AI-generated media is deceptive. But the only way to prevent AI misuse is with detection that keeps pace with frontier generative labs and lives wherever your media and communication happen. Put the most comprehensive, real-time deepfake detection API in your app or workflow today.
