Netskope Deepfake Detection API provides automated forensic analysis of media files to identify synthetic content created or modified by AI deepfake technologies. Designed to combat social engineering, identity fraud, and corporate disinformation, the service allows organizations to programmatically verify the authenticity of audio, video, and image files.
Key Capabilities & Use Cases
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Multi-Modal Detection: Analyzes images, audio, and video files to identify AI-generated facial features and human audio artifacts.
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Fraud Mitigation: Helps organizations defend against sophisticated attacks, including:
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Impersonation: Detecting deepfake audio/video used to mimic employees, corporate leaders or political figures during meetings or in recorded messages.
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Identity Fraud: Verifying the authenticity of sensitive meeting attendees, such as financial/legal/health consultations and applicants in remote hiring scenarios
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Asynchronous Disinformation: Identifying malicious media distributed via email or messaging platforms designed to compromise users or manipulate corporate sentiment.
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Flexible Integration: Offers a RESTful API for programmatic submission of media samples, enabling seamless integration with existing third-party security tools and internal workflows.

