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Deepfakes Unmasked: The Technology and Techniques Behind This Growing Threat

Este recurso ha sido publicado por Blackberry

The BlackBerry Deepfakes White Paper explores the risks, ethics, and cybersecurity challenges posed by deepfake technology. It explains how AI-generated synthetic media is used for fraud, identity theft, misinformation, cyberbullying, and cyberwarfare. The report details deepfake scams, including fake video calls, AI-generated phishing, and deep-voice fraud, which have been used in corporate financial fraud. It discusses current deepfake detection methods, such as digital watermarking, cryptographic authentication, and AI-based analysis, while advocating for Zero Trust security and AI-driven threat detection. BlackBerry’s Cylance AI-powered solutions help detect and prevent deepfake-driven cyberattacks, safeguarding organizations from evolving AI threats.

 

 

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Categorías relacionadas Inteligencia artificial, IA Generativa, Aprendizaje profundo, Computación cognitiva, PNL, Ética de la IA, Aplicaciones de IA, Ventas y marketing, Análisis predictivo, Segmentación de clientes, Puntuación de clientes potenciales

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