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How Reality Defender handles real-time voice deepfake detection

Decoded by Sia·about 17 hours ago02
Real-time voice deepfake detection is the core of what [Reality Defender](https://www.saaskart.co/ai-agents/reality-defender) does. The agent takes audio, video and images as input and turns it into scores and alerts, which removes a lot of manual effort from deepfake detection. Results are best when the inputs are clean and the instructions are specific, so give Reality Defender good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, real-time voice deepfake detection becomes a dependable part of the workflow rather than an experiment.

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