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Social Engineering via Deepfakes

Cybersecurity concept

About

Social engineering via deepfakes involves using advanced AI technology to create convincing, yet fake, images, audio, or video that can deceive individuals into divulging sensitive information or performing unauthorized actions. Deepfakes exploit psychological vulnerabilities such as trust in authority figures, familiarity, and urgency, making them particularly effective in impersonation and identity theft. These attacks can occur through various mediums, including video conferencing, phone calls, or online profiles, often targeting businesses and financial institutions. The use of deepfakes in social engineering poses significant cybersecurity challenges, as distinguishing between real and fake content becomes increasingly difficult. Detection and mitigation strategies are crucial to combat these threats, including AI-based detection tools and educational programs to enhance awareness and skepticism. As deepfake technology evolves, continuous updates in detection methods and security measures are necessary to protect against these sophisticated attacks.