Deepfake scams are a new phenomenon in online fraud. Criminals utilise artificial intelligence to replicate voices or faces, including making use of the moniker of executives or family members and friends. The result? Believable requests for money or private info. Sloppy grammar and funky-looking images are not acceptable.
Not all familiar faces are true faces. Likewise for voices; anyone can be copied. Therefore, humans and corporations should receive ways of doubly verifying what they're seeing and hearing; they are smarter. Let's take a look in this blog at how these deepfake scams really work, key indicators to look out for in such a scam, some actual examples, and ways to protect yourself online.
The use of deepfake technology is a scam that involves using artificial intelligence to create or alter audio, images, and videos that appear as if they are authentic.
AI deepfakes can start with any publicly posted videos, audio recordings, or photos. With AI technology, a voice is simulated to trick people into believing it's that of another person and then put in a believable environment.
Technology is but a portion of the problem. It is coupled with social engineering, urgency, and information the scammer obtains from other social networks or from company websites. A victim could receive a call from a caller who says they are their manager and requests immediate wire transfers.
The scams involve a level of trust motivated by AI that pockets them before the victim can raise any suspicions.
Commonly, executives, relatives, financial advisers, and/or customer support personnel are involved in an AI impersonation scam. The scammer establishes a believable identity and asks for money, access to your accounts, or sensitive information.
It can involve an employee being contacted via video by a voice impersonating the company's CFO, for instance. The person asks for an immediate payment, assuring that information will remain confidential. The employee identifies the face and responds to the instructions.
That is the trap. Knowing the work does not necessarily establish the identity of the person who created it.
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There are various forms of deepfake fraud, but they are almost all looking for keys to money, access to the account, or personal information.
Deepfake videos can either display a familiar figure in real time or use a faux video of a familiar figure to propagate a false narrative. There are scams in which the interaction itself is not done live but instead one of the prerecorded video pieces.
The best way to detect fake video calls is to recognise that their faces aren't as believable as they sound on the surface. When you see a video that looks convincing, but the request for money, a secret, or an unusual request for account changes is unexpected, it should be verified on its own.
With relatively short pieces of audio, especially good voice recordings, and depending on the actual tool and voice recording used, AI voice cloning can replicate the voice of a person. In case of an emergency call, criminals can use a copy of your voice if one member of the family has been injured or arrested.
A business version is characterised by bogus executive orders for the transfer of money. The caller's tone seems familiar, the time left is short, and he/she doesn't want to investigate.
Don't use voice recognition.
Deepfake identity theft occurs when the synthetic or manipulated media impersonates an actual person when conducting ID verification, engaging with customers, or making a fake application. Personal info that has been stolen could make impersonation easier to make true.
Risks can involve fraud and/or damage to the victim's reputation, watered-down applications, lost accounts, and unauthorised transactions. Another issue with a deep fake is that it could be layered on top of another photocopied ID to create an even more convincing fake.
From the real world, the examples reveal the potential for real people to be scammed by real robots of their voices and faces.
A similar 2024 fake video conference scam occurred at a multinational in Hong Kong, where a worker was fooled by a colleague appearing in a fake video call, including a fake chief financial officer. The company is said to have paid approximately $25 million.
Where reported, it has been found that a cloned voice might do the following: Call emergency services on behalf of instant messages from a relative and/or speak on behalf of a celebrity to recommend fraudulent investment opportunities. The examples illustrate that deepfake fraud is capable of impersonating any individual's judgement and ingrained business practices.
Both types of feelings lack trust.
| Scam type | What the victim sees or hears | Main risk |
|---|---|---|
| Fake executive call | A familiar manager requesting payment | Business payment fraud |
| Emergency voice call | A relative asking for urgent help | Financial loss |
| Fake investment video | A public figure promoting an offer | Investment fraud |
| Synthetic identity check | A manipulated face or voice during verification | Account or identity theft |
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To prevent deepfake scams, one should be careful of observing their surroundings as well as using non-dependent verification techniques.
None of the visual or auditory cues are a reliable indicator of all deepfakes. There are unusual lip movements or lighting inconsistencies, strange edges, unnatural pauses between words or phrases, or odd voice patterns in some fake recordings. These faults can be mitigated with improved tools.
Rather, think about the entire situation. If a caller you do not recognise asks for a transfer, your secret number, password, or verification number, it is suspicious.
If you notice any of these signs, watch for them:
The top deepfake scam protection strategy is to double-check the request separately. Hang up and dial your known number in the list of contacts or your company directory. Never give phone numbers provided by the caller.
If paid in the workplace, always have someone else authorised to authorise payment and verify bank details with someone through an agreed process. Although it is not a replacement for other checks, a family may mutually choose a private verification question.
Pause before paying. When it comes to not knowing the right answer, it's a short time that can save you from a big mistake.
Clear response procedures are required for individuals and organisations to have, as even those using the internet carefully can fall for convincing AI impersonation scams.
In order to safeguard yourself against deep fake fraud, whenever possible, reduce or eliminate any personal content that is made public, safeguard your social media accounts with multi-factor authentication, and use a unique password. Staff should be trained to check for anything that is unusual and practice fraud situations with them.
When dealing with money or financial information, reach out to your bank right away if you think you've been defrauded of your identity through a deepfake. Log into affected accounts, change compromised credentials, archive messages and call history, and notify appropriate authorities of the incident.
Time is of the essence, particularly after a transfer.
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These scams hit you where it hurts: human trust. It’s not just about tricking computers—an AI-generated face or voice can feel personal and urgent, pushing you to act fast. But the solution isn’t to distrust everything. Instead, stop treating familiar appearances as proof. Always verify payments through another trusted channel, protect your passwords, and make sure employees understand what to do when things seem odd.
If someone’s rushing you, pause and check. That quick step can save you from losing money or getting your identity stolen. Staying safe means using good tech defences and keeping a healthy dose of scepticism—especially when things appear a little too real.
Sometimes, yes. Scammers can trick people into giving up verification codes or approving fake logins. Multifactor authentication still helps, but it’s better to use phishing-resistant options like passkeys or security keys for stronger protection.
Not really. These tools can miss sophisticated fakes or flag legit stuff by mistake. Think of them as one clue—not the final verdict. Always check weird requests with another trusted source.
Absolutely. Public recordings give scammers more material to work with. Limiting what you share and tightening privacy settings helps, but there’s no way to totally prevent it.
Act fast: contact your bank or payment provider and try to freeze or recall the transfer. Save any evidence, alert your security teams, and follow your company’s procedures for reporting and responding to incidents.
Yes, and they already have. Edited videos and audio can make people look like they’re saying or doing things they never did. Before sharing anything big, check it against well-known reliable sources.
This content was created by AI