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Shield: Deepfake & AI Detector

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Overview

Proteção preventiva e em tempo real contra deepfakes e clonagem de voz em videoconferências. 100% local e open-source.

O Deepfake Shield é a sua primeira linha de defesa contra manipulações de Inteligência Artificial e clonagem visual em videoconferências. Focado em segurança corporativa e pessoal, ele intercepta fluxos de vídeo no Google Meet e no Microsoft Teams para determinar a autenticidade do interlocutor em tempo real. 🛡️ PRIVACIDADE ABSOLUTA (ZERO-CLOUD) Diferente de outras soluções, o Shield opera 100% no seu navegador. Utilizando modelos avançados de IA compilados via WebAssembly (ONNX), a análise matemática ocorre diretamente no seu hardware. - Nenhuma imagem ou vídeo é enviado para a nuvem. - Nenhum dado pessoal é coletado ou armazenado. - Latência zero na sua videochamada. ⚙️ COMO FUNCIONA Ao entrar em uma reunião no Google Meet ou Microsoft Teams, a extensão acopla automaticamente uma HUD (interface visual) discreta sobre os vídeos. O motor de IA analisa micropadrões e artefatos de renderização gerados por Redes Adversárias Generativas (GANs) e exibe o nível de autenticidade (ou alerta de risco) instantaneamente. 💻 PROJETO OPEN-SOURCE E SEGURO Construído com transparência. O código-fonte é aberto (Dual-License) para a comunidade auditar e contribuir, garantindo que não existam rastreadores ocultos ou invasão de privacidade. Perfeito para profissionais de RH, executivos, advogados e qualquer pessoa que precise de garantia absoluta de identidade em reuniões online.

Details

  • Version
    1.1.0
  • Updated
    June 16, 2026
  • Size
    36.61MiB
  • Languages
    português (Brasil)
  • Developer
    Email
    aoronan@gmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

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The developer has disclosed that it will not collect or use your data.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

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