What Is a Deepfake and How It Is Used in Scams

What Is a Deepfake?

A deepfake is a synthetic media product — video, audio, or image — created using artificial intelligence to convincingly depict a real person saying or doing something they never said or did. The technology uses deep learning algorithms trained on real examples of a person's face, voice, or movement to generate realistic imitations.

In 2026, deepfake technology has become significantly more accessible. Tools that previously required specialized hardware and expertise are now available through consumer applications and AI services. The quality has also improved dramatically — many deepfakes are indistinguishable from real footage without careful technical analysis.

How Deepfakes Are Used in Scams

AI Voice Cloning for Family Emergency Scams:
Scammers clone a family member's voice using public social media audio — a few seconds from a video post is sufficient. They call the target claiming the family member is in distress — arrested, injured, stranded — and urgently needs money. The voice is the real person's, making the deception immediately convincing.

Defense: Establish a family code word in advance. The caller's inability to provide the code word reveals the fraud immediately.

Executive Impersonation (Business Deepfakes):
Video deepfakes of executives are used in business email compromise attacks. A "video call" appears to be the CEO authorizing a wire transfer. This has been used in documented large-scale financial fraud cases.

Defense: Establish out-of-band verification for financial transactions. Any financial authorization — regardless of how it was communicated — requires independent verbal confirmation through a known channel.

Fake News and Disinformation:
Deepfakes of politicians, executives, and public figures are used to spread disinformation — fabricated statements that can damage reputations, manipulate markets, or influence public opinion.

Blackmail and Sextortion:
AI tools can generate explicit content using a person's face from social media photos. These fabricated images are used to extort victims — pay or the images will be shared.

Verification Scams:
Deepfake "video verification" on fake platforms appears to confirm the platform's legitimacy. A deepfake of a known person endorsing the platform creates false credibility.

Detecting Deepfakes

Visual tells in lower-quality deepfakes:
- Unnatural blinking or eye movement
- Inconsistent lighting on the face
- Blurry edges around the face, particularly in the hairline area
- Mouth movements that do not perfectly sync with audio
- Inconsistent skin texture
- Artifacts around the ears and neck

The challenge: High-quality 2026 deepfakes often show none of these tells. Detection cannot rely on visual inspection alone for high-stakes decisions.

Technical detection tools:
- Microsoft Video Authenticator
- Intel's FakeCatcher
- Reality Defender

These tools analyze deepfakes for technical artifacts invisible to the human eye. They are useful but not perfect, particularly against the most advanced generation methods.

The Verification-First Mindset

The most reliable deepfake defense is not detection — it is verification. Regardless of how convincing a video or audio appears:

- Never authorize financial transactions based on video or audio alone
- Establish code words for voice-based emergencies with family members
- Implement out-of-band verification for all business-critical requests
- If a video call for a sensitive purpose looks even slightly wrong, call the person back on a known number before acting

The key insight: deepfakes exploit trust in familiar voices and faces. By establishing verification procedures that do not depend on recognizing a voice or face, you remove the attack surface deepfakes target.

Protecting Your Own Image

Your public photos and videos are the training material for deepfakes targeting you or your family.

Protective measures:
- Limit publicly available photos and videos on social media
- Set social media profiles to private
- Be thoughtful about what visual and audio content you make publicly available
- Explain to children why they should not share excessive content publicly

Email and Identity Protection in the Deepfake Age

Deepfake attacks often accompany email phishing campaigns — the deepfake creates emotional shock or urgency, while an email captures the response. Using Temp90 for registrations reduces the information available to attackers researching targets for personalized deepfake campaigns.

FAQ:

Q: Can I call back to verify a deepfake voice call?
A: Yes — and you should. If you receive an unexpected call from a family member's number with an urgent financial request, end the call and call them back on the same number or another known contact. If the original call was genuine, they will confirm. If it was a deepfake, the callback goes to the real person who has no idea what you are talking about.

Q: Are deepfake tools illegal?
A: Creating deepfakes of real people without consent for fraud, defamation, or non-consensual intimate imagery is illegal in many jurisdictions. The tools themselves are legal, and their legitimate uses include entertainment, art, and education.

Q: Can antivirus software detect deepfakes?
A: Antivirus tools do not detect deepfakes in received videos. Specialized deepfake detection tools exist for this purpose. The verification mindset is more reliable than any technical detection.

Conclusion:

Deepfake technology has created a new class of social engineering attack that exploits our trust in familiar voices and faces. Defenses must shift from recognition-based trust ("I know that voice") to verification-based trust ("I confirmed through an independent channel"). Establishing family code words, implementing out-of-band verification for financial decisions, and limiting publicly available audio and video content are the core protective measures for the deepfake era.