Deepfakes are no longer a gimmick: CEO fraud via video call, fake interviews, and manipulated evidence have moved from theory into everyday business. The good news: many fakes have characteristic weaknesses. This article shows how to recognize deepfakes in daily work – and what organizations should do structurally against them.
Why Deepfakes Are a Business Problem
Deepfakes long since moved past celebrity content. Especially affected: executives and finance (CEO fraud, wire fraud), HR (faked verification videos), communications (forged statements), and customer service (voice clones in social engineering calls). Damage ranges from wire loss to reputation crisis.
Typical Attack Patterns
- Video CEO fraud: A deepfake video of executive leadership demanding an urgent wire, often via messenger or video call.
- Voice clone vishing: A familiar voice calls – AI-generated, a few minutes of social media video are usually enough.
- Identity verification bypass: Fake faces defeat automated KYC processes.
- Disinformation: Manipulated statements about products or people, targeted to move markets or damage reputation.
Video Detection Cues
- Eyes and blink patterns: Unnatural frequency, glassy stare, wrong reflections.
- Mouth and tongue movement: Tongue and teeth detail remain hard for many models. A simple test: ask the person to stick out their tongue or smile into the camera.
- Lighting and shadows: Face and background lit inconsistently.
- Facial expressions and asymmetry: Halves of the face move out of sync; emotions look staged.
- Hairline, ears, jewelry: Edges shimmer, earrings deform, glasses sit wrong.
- Lip sync: Word endings and mouth closure don't line up.
Audio Detection Cues
- Unnatural breathing or no breathing pauses at all.
- Robotic prosody – every sentence sounds the same length and stress.
- Background noise missing or mismatched to the claimed environment.
- Odd reactions to interruptions (AI often responds with slight delay).
Organizational Countermeasures
- Second channel mandatory: Financial instructions are never confirmed by video or audio alone. A callback to the registered landline is the minimum.
- Code words for emergencies: For executives, finance, and HR – an agreed passphrase checked in any urgent communication.
- Four-eyes principle for payments: Especially for deviations from standard processes. Limits are not suggestions.
- Awareness training: Build real cases into the awareness program; involve executives.
- Technical support: Deepfake detection in video conferencing and incoming calls, verified digital signatures for official statements.
- Clear reporting path: Suspected manipulation is handled like a security incident – including documentation and forensic preservation.
Conclusion
Deepfake detection isn't magic – it's the combination of a trained eye, disciplined processes, and technical support. The biggest lever remains organizational: second channel, code word, four-eyes principle. Technology keeps catching more – but a well-drilled callback to a verified number still beats every AI voice.