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Emerging Threats
What is Deepfake?
AI-generated synthetic media that convincingly replaces a person's likeness or voice in video or audio, enabling sophisticated impersonation and misinformation.
Deepfakes use machine learning to create realistic fake video and audio of real people, posing new threats to privacy and trust.
Capabilities
- Face swapping: Replace one person's face with another in video
- Voice cloning: Generate speech in anyone's voice from a few seconds of sample audio
- Full-body synthesis: Generate entirely fake people in video
- Real-time: Some deepfakes can run live during video calls
Threats
- Fraud: Voice clone of CEO authorizes wire transfer ($35M case in 2020)
- Blackmail: Fake compromising content used for extortion
- Disinformation: Fake political speeches or events
- Non-consensual content: Generating intimate images without consent
Detection
- Look for visual artifacts (blurring around edges, inconsistent lighting)
- Audio analysis can detect synthetic speech patterns
- Digital provenance tools (C2PA) embed tamper-proof origin data in media
Protection
- Verify unexpected video/audio communications through a separate channel
- Use meeting platforms with identity verification
- Be skeptical of sensational video content
- Support content authenticity standards (C2PA, Coalition for Content Provenance)
Related Terms
Facial Recognition
Technology that identifies or verifies individuals by analyzing facial features from photos or video footage, increasingly used for mass surveillance.
Social Engineering
Psychological manipulation techniques used to trick people into revealing confidential information or performing actions that compromise security. Social engineering exploits human trust rather than technical vulnerabilities.
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