DuckDuckGoose: Deepfake Detection Software
DuckDuckGoose helps enterprise companies and financial institutions detect AI-generated media. It is designed for teams that need to automate synthetic identity detection within KYC and AML workflows.
At a glance
- Category
- Security
- Best for
- Enterprise Companies, Financial Institutions, Identity Verification Providers, Government Agencies, Compliance and Risk Teams
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website, though limited free trials may be available for assessment.
- Key use cases
- KYC and Onboarding, Voice Fraud Prevention, Biometric Liveness Checks, Corporate Communication Security, Content Moderation
- Official website
- www.duckduckgoose.ai/detector
DuckDuckGoose is a security platform designed to identify deepfakes across three primary media types: images, video, and audio. The software is intended for organizations that handle digital identity verification and need to distinguish between real human users and AI-generated synthetic media.
The platform offers three main tools: Phocus, a browser-based web platform for multi-media detection; DeepDetector, for real time image and video analysis; and Waver, which focuses on deepfake speech detection across more than 16 languages. These tools can be deployed via cloud, on-premise, or hybrid architectures using SDKs and APIs.
For business buyers, the platform is designed to integrate into existing fraud and compliance stacks. It provides explainable AI decisions, offering visual traces and human-readable explanations to support audit and legal teams.
Buyers should confirm their specific deployment requirements, as the tool supports various architectures and integration methods to fit different technology stacks.
Key Features
Identifies synthetic content across images, video, and audio files.
Provides human-readable explanations and visual media traces for detection decisions.
Processes media inputs in less than one second to support real time verification flows.
Detects AI-generated voices and cloned speech across 16+ languages.
Supports cloud, on-premise, and hybrid deployment options via APIs and SDKs.
Generates data outputs that may be integrated into existing fraud and compliance workflows.
Use Cases
Detecting synthetic selfies and forged documents during digital account creation.
Identifying cloned voices during payment authorizations or customer support interactions.
Flagging camera-injection and deepfake video attempts during liveness verification.
Detecting deepfake impersonators during virtual conferences and internal meetings.
Flagging manipulated or AI-generated visuals on enterprise or social platforms.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website, though limited free trials may be available for assessment.
FAQ
It detects AI-generated faces, documents, voices, and video content across images, audio, and video files.
The platform supports cloud, on-premise, and hybrid deployments through the use of APIs and SDKs.
While the primary offering is a paid service, the company provides limited free trials for users to assess the technology.
The system is designed for sub-second analysis, processing media inputs in less than one second.
Source category: Security
Source subcategory: Deepfake Detection
