FRAUD & VERIFICATION

How to Spot a Deepfake — and Why “Spot the Glitch” Is Not Enough

Odd blinking, hands or lip sync can be clues, but they are not a dependable detection method. Context, source provenance and independent confirmation matter more as generated media improves.

Reviewed: 20 August 2026•Evidence-led explainer
Abstract editorial illustration for How to Spot a Deepfake — and Why “Spot the Glitch” Is Not Enough
Verification works best when it happens outside the call, message or video creating the urgency.
THE SHORT ANSWER

Odd blinking, hands or lip sync can be clues, but they are not a dependable detection method. Context, source provenance and independent confirmation matter more as generated media improves.

Verify the person, not the performance

With AI-enabled fraud, appearance is a weak form of proof. A voice can sound familiar, a video can look convincing and a message can be polished. The safer habit is to verify the person, request or account through a route the suspicious contact does not control.

Generative media quality changes rapidly. That point is the reason independent verification matters more than confidence in the voice, video or message in front of you.

What matters in practice

Generative media quality changes rapidly.

The scammer’s advantage is often urgency rather than technical sophistication. Slowing the interaction down and switching to a known contact route removes much of that advantage.

Compression and editing can create the same artefacts people associate with fakes.

Visual or audio clues can help, but they are not dependable enough for high-stakes decisions. Independent confirmation is stronger than trying to become an expert at spotting every synthetic-media artefact.

Source history and corroboration can be stronger evidence than pixels alone.

Money, credentials and account recovery deserve a higher verification threshold. A familiar face or voice should never be the only reason to approve a payment, disclose a code or reset access.

Why convincing does not mean genuine

Fraud evidence is easy to overread because a convincing clip or voice creates strong emotional certainty. The right question is whether identity and intent have been independently verified, not whether the media felt authentic.

  • No single visual clue proves a fake.
  • Automated detectors can have false positives and false negatives.

What could change the answer?

The practical picture changes as verification channels and criminal techniques change. Keep household and business procedures current, especially for payments, password resets and urgent requests that depend on voice or video identity.

What you can do now

Make verification routine before a crisis. The goal is to have a simple process you can follow while someone is pressuring you, not to invent a perfect test after the money or credentials have already gone.

  1. Check who first published the media.
  2. Look for corroboration from primary or trusted independent sources.
  3. For a request involving money or access, verify identity outside the media itself.

A four-question reality check

When a claim sounds dramatic, work through these four questions before deciding how much weight to give it.

1. Capability

What can the system demonstrably do?

2. Access

What tools, credentials and networks can it actually reach?

3. Persistence

Can it keep operating after errors or intervention?

4. Consequence

What real-world outcome follows if safeguards fail?

Bottom line

The most durable defence is a verification habit that still works when synthetic media becomes harder to spot. Confirm identity independently before acting on urgency.

Odd blinking, hands or lip sync can be clues, but they are not a dependable detection method. Context, source provenance and independent confirmation matter more as generated media improves.

Sources & further reading

These links are selected for the claims and methods discussed above. Primary or official sources are preferred where available.

Two useful questions

What is the biggest caveat?

No single visual clue proves a fake. Automated detectors can have false positives and false negatives.

What is the most useful next step?

Check who first published the media. Look for corroboration from primary or trusted independent sources.