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Face swaps don't hold a photo to a camera. Injection attacks bypass your SDK entirely. AI-generated identity documents pass visual inspection. And every major generative model release creates new attack vectors your current detection wasn't trained on. The result: synthetic identities pass onboarding, open accounts, and trigger cascading fraud across your clients' ecosystems — with your platform as the entry point.
A face swap clears onboarding. That account opens. It moves money, takes loans, files claims, buys crypto. Each step creates cascading losses across every system that trusted the first verification — and that chain starts with the identity platform that let it through.
Synthetic identity fraud isn't a content problem. It's an infrastructure problem. And it starts at onboarding.
Honored with prestigious awards, DuckDuckGoose is globally recognized for revolutionizing AI-powered deepfake detection and cybersecurity innovation excellence
RVO's Dutch Delegation
Tech startup of the Year 2023
Featured on euronews
Winner of the European Startup Pitch Battle
Tech startup of the Year 2024
We don't just detect deepfakes. We research how they're made, how they'll evolve, and how detection must adapt. DuckDuckGoose runs a dedicated threat research program that tracks every major generative model release, red-teams new attack techniques, and publishes forensic analyses that financial institutions, law enforcement, and identity platforms use to understand what's coming next.
This isn't a marketing exercise. It's how we stay ahead — and how our clients stay ahead with us.
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info@duckduckgoose.nl
