DuckDuckGoose AI

Fraud Solution Profile

Staying Ahead of Deepfake Fraud with DuckDuckGoose AI 

DuckDuckGoose AI’s solutions combine proprietary deepfake datasets, explainable, generalisable AI models, and real‑time analysis that detect and protect organizations from synthetic media attacks across images, video, and audio. DuckDuckGoose AI continuously generates and ingests hundreds of millions of in‑house deepfake variants, creating living training and benchmarking datasets that mirrors emerging threat techniques. This proactive approach ensures DuckDuckGoose AI not only detects known manipulations but also anticipates novel attacks, maintaining industry‑leading accuracy and transparency. 

Key Capabilities 

• Living Deepfake Benchmark Dataset 

DuckDuckGoose AI’s dataset evolves with the threat landscape, helping us identify process‑specific vulnerabilities and craft tailored prevention strategies. 

• Real‑Time Multimedia Analysis 

By processing video, audio, and image inputs in under one second, DuckDuckGoose AI stops deepfake attempts before they enter workflows, ensuring seamless customer experiences. 

• Explainable‑AI Insights 

Every detection output includes clear, human‑readable explanations of anomalies, facial inconsistencies, lip‑sync errors, or audio artifacts, so teams understand and trust the AI’s decisions. 

• Ultra‑High Accuracy & Low False Rejections 

Our solutions deliver 95–99% accuracy with a false‑rejection rate below 0.1%, safeguarding genuine users.

•  Seamless Integration 

With our APIs, DuckDuckGoose AI embeds directly into every existing flow, e.g., KYC and AML pipelines, without disrupting operations. 

Combating the Deepfake Threat 

Legacy systems can’t keep pace with AI‑driven face‑swap, lip‑sync, and audio‑manipulation methods. DuckDuckGoose AI uses machine learning trained on real‑world and synthetic attacks to outpace sophisticated threats and keep organizations one step ahead of fraudsters. 

The Burden of In‑House Solutions 

We totally get the instinct to build it yourself. More control, less reliance on a third party, and your own team knows your systems inside out. But deepfake detection isn’t just a one-time model, it’s an ongoing arms race. New attack methods emerge constantly, and catching them means working with real adversarial data, not just open-source examples. You also need something that runs in real time, explains its decisions, and doesn’t block good users. That’s a lot to build and maintain. With DuckDuckGoose, you skip the guesswork, it’s already up, running, and trusted across sectors. So you can focus on your core business, while we handle the deepfakes. 

Case Study: Banking Client Onboarding 

When a leading digital bank faced rising synthetic‑identity fraud, they partnered with DuckDuckGoose AI to integrate our DeepDetector solution into their onboarding flow. Within weeks, DuckDuckGoose AI provided: 

• 90%+ increase in automatically detected deepfake attempts, preventing fraud rings from creating synthetic accounts 
• 600% boost in fraud and crime detection efficiency, slashing manual analyst workload and freeing teams for high‑value investigations 
• €300K in annual cost savings, based on analyzing 50,000 onboardings per month 

By proactively identifying and blocking deepfake fraud, DuckDuckGoose AI helped the bank reduce regulatory risk, pass compliance audits confidently, and strengthen customer trust, demonstrating measurable impact and ROI. 

Choosing DuckDuckGoose AI means partnering with a specialized fraud‑fighting solution that continuously adapts to emerging deepfake techniques, provides clear, actionable insights, and integrates seamlessly with your existing security infrastructure.