DeepDetector | duckduckgoose

DeepDetector | duckduckgoose

DeepDetector from DuckDuckGoose is an enterprise deepfake detection layer for identity verification stacks. It scans images and video for face swaps, injection attacks, and synthetic IDs, then returns explainable heatmaps and confidence scores compliance teams can defend.

Consumer upload checkers score a single file in isolation. DeepDetector sits inside KYC and liveness flows, retrains against 40+ generative model families, and cites about 96% accuracy on real-world deepfakes with a 0.01% false positive rate on live traffic.

Banks and IDV platforms including bunq, Certta, Banco Daycoval, and the Netherlands Forensic Institute embed DuckDuckGoose in production. DeepDetector offers API, SDK, and on-prem deployment with sub-second scoring designed for live onboarding.

Top Features:
  1. About 96% detection accuracy on real-world deepfakes across image and video

  2. 0.01% false positive rate measured on live production traffic

  3. Detects 40+ generative model families including Sora 2, Flux, and DeepFaceLab

  4. Activation maps and noise-residual layers explain each verdict for audits

  5. API, SDK, and on-prem deployment with sub-200ms median API response cited

  6. DFDC benchmark score of 96.5% accuracy on the public challenge set

Pros:
  1. Multimodal detection covers video, audio, and images in one platform.

  2. Explainable activation maps support compliance and audit defense.

  3. Production use by bunq, Certta, and Banco Daycoval validates enterprise readiness.

  4. Sub-second scoring fits live onboarding without extra user friction.

Cons:
  1. No self-serve pricing or public trial; demo required for access.

  2. Enterprise focus may be heavy for small teams needing a simple upload checker.

  3. Stored listing URL duckduckgoose.ai/detector serves broader company pages.

FAQs:

What does DeepDetector detect?

DeepDetector from DuckDuckGoose flags deepfakes in images and video, including face swaps, camera-injection attacks, morphed passport photos, and synthetic ID documents. It targets threats that standard liveness checks miss during identity verification.

How accurate is DuckDuckGoose deepfake detection?

DeepDetector cites about 96% detection accuracy on real-world deepfakes and a 0.01% false positive rate on live traffic. DuckDuckGoose also reports 96.5% on the DFDC public benchmark and 98.1% on FaceForensics++.

Who uses DeepDetector?

DeepDetector runs in production for identity platforms serving bunq, Certta, Banco Daycoval, and the Netherlands Forensic Institute. DuckDuckGoose reports 50M+ identities verified across 30+ countries.

Does DeepDetector explain its verdicts?

Yes. DeepDetector returns Phocus heatmaps, noise-residual layers, and manipulation probability scores. DuckDuckGoose positions these explainable outputs for compliance teams defending decisions in regulatory reviews.

How fast is DeepDetector?

DeepDetector returns image and video verdicts in under five seconds, with DuckDuckGoose citing sub-200ms median API response times. Demo bookings run detection on your KYC data in a 30-minute session.

How do I get DeepDetector pricing?

DeepDetector pricing is not published online. DuckDuckGoose requires booking a demo through duckduckgoose.ai/contact to see detection on your verification data and discuss API, SDK, or on-prem deployment.

Category:

Pricing:

Paid

Tags:

Deepfake Detection
Identity Verification
KYC Fraud Prevention
Activation Maps
Multimodal Analysis
Document Fraud Screening
On-Prem Deployment
Synthetic Audio Detection

Tech used:

React
Webflow
Cloudflare
HubSpot
Google Tag Manager
GraphQL
Tailwind CSS

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