Synthetic identities, face swaps, and fabricated documents are passing your verification checks right now. DuckDuckGoose plugs into your stack within minutes, flags manipulation in under 5 seconds, and gives your fraud and compliance teams a full audit trail for every decision.
.png)
Catch manipulated selfies, fabricated documents, and voice clones before they complete onboarding, without adding a single step to your user journey.
Integrate via API or SDK in under a day. Works with your existing KYC flow, document verification vendor, or liveness provider. Cloud, on-prem, or hybrid.
Every detection generates an exportable decision log with visual evidence, built for your compliance, legal, and audit teams to stand up in regulatory review.
Our detection engine is trained on adversarial datasets built from synthetic media seen in real fraud attempts. It flags manipulated selfies, fabricated documents, and liveness spoofs, reducing false negatives and manual review costs at scale.
Drop-in SDKs and sub-second API responses. Works with your existing KYC flow, document verification vendor, or liveness provider. No rearchitecting. No user friction.
Success Rate on Real-World Deepfakes
Each detection generates an explainable decision, a visual media trace, and machine-readable output your fraud, legal, and audit teams can act on. Built for regulatory review, internal escalation, and compliance reporting.
Phocus retains DeepDetector’s impressive 95% to 99% accuracy for detecting deepfakes in images and videos. Trust that our AI can catch even the most sophisticated fake content.
Phocus provides instant or near-instantaneous results for images, videos, and speech, ensuring you can act quickly when deepfake threats emerge.
Phocus achieves an exceptionally low 0.01% false positive rate, ensuring you only receive accurate alerts. This means fewer disruptions and more confidence in every deepfake detection, minimizing the risk of genuine content being flagged mistakenly.
Whether you're evaluating deepfake detection for the first time or looking to layer it into an existing stack, we can walk you through deployment options, integration timelines, and what detection looks like in your specific environment.
