How to Avoid Deepfake Scams in Europe in 2026

A deepfake can make a fraudulent approach appear indistinguishable from familiar communication. A chief financial officer appears in a video conference, a relative asks for urgent help in a recognisable voice, or a well-known entrepreneur recommends an investment platform in an advertisement. In each case, the image and audio may have been generated or manipulated using artificial intelligence.

For individuals and businesses in Europe, the central question is how to verify a request before taking an irreversible action. Effective protection must work even when a person fails to recognise the fake. This is why checking identity, authority and payment details matters more than confidence that someone looks and sounds genuine.

• Deepfake scams use artificially generated or manipulated voices, videos and images to impersonate a relative, executive, bank employee or another person trusted by the victim.
• A familiar voice and a convincing video call do not establish identity. Before transferring money, changing bank details or disclosing confidential information, verify the request independently.
• The main warning signs concern the nature of the request: urgency, secrecy, an unusual payment recipient, instructions to bypass internal rules and resistance to verification through another channel.
• Payment approval procedures are essential for businesses. Independently confirming instructions, separating responsibilities and verifying new bank details reduce risk even when an impersonation appears convincing.
• If money has already been transferred, notify the bank immediately and preserve the evidence. Recovery depends on the payment route, applicable law, identification of the recipient and the availability of accessible assets.

What Are Deepfake Scams?

Voice Cloning, Fake Videos and Manipulated Images

A deepfake is artificially generated or manipulated media that can create a false impression of a person’s identity, words or actions. Common techniques include voice cloning, face swapping and altering lip movements to match a different soundtrack. Faces can also be replaced during a video call.

Synthetic content is not necessarily criminal. Its purpose, context and consequences are legally significant. In a financial fraud scheme, the fake is used to obtain money, access an account, acquire confidential information or secure approval for a transaction.

How Deepfakes Help Criminals Steal Money

A deepfake strengthens social engineering: the fraudster seeks to exploit trust in a particular person or organisation. Voice and image provide additional persuasion, encouraging the victim to comply without verification.

Assessing such a case requires establishing the full sequence of events: who initiated contact, what information was provided, what action was requested and who ultimately received the funds. Even compelling evidence that a video was artificially generated does not automatically identify the payment recipient or establish their liability.

Why Deepfake Scams Matter in Europe in 2026

Remote Communication and Cross-Border Payments

European companies routinely coordinate transactions, invoices and payments remotely. The executive, accountant, counterparty and servicing bank may be located in different countries. For individuals, voice messages, video consultations and communication with financial services through apps have become familiar practices.

In this environment, verification based on “I recognised the voice” is insufficient. International transfers introduce additional jurisdictional questions: the victim’s country of residence may differ from the country of the recipient’s bank, the website operator and the assets.

What the Statistics Actually Show

Loss figures must be read in light of the period, geography and research methodology. Recorded attempts, victim reports and confirmed financial losses measure different things.

For example, the $3.7 billion figure cited in Brightside’s article is described as cumulative global losses from January 2020 to June 2026. It cannot be presented as losses suffered by European victims in 2026 alone. Similarly, a forecast of future losses is not a record of crimes already committed.

When assessing a specific approach, global statistics are secondary. What matters in practice is whether the caller can be verified, whether the request has a legitimate basis and whether the payment instructions can be independently confirmed.

Common Deepfake Scam Scenarios

Family Calls and Requests for Urgent Help

In a family impersonation scenario, the fraudster imitates a loved one’s voice and describes an emergency requiring immediate payment. Pressure increases through requests not to tell anyone, not to end the call or to send money to a third party’s account.

Santander warns that criminals may combine a cloned voice with knowledge of personal details. A date of birth, address or information about family members does not establish that a call is genuine, because such information may come from public sources or data breaches.

Fake Bank Employees and Public Officials

The caller may claim that a suspicious transaction has been detected, the account is at risk or identity must be verified urgently. The request usually involves an action that gives the fraudster money or control: a transfer, disclosure of a one-time code or installation of remote access software.

Verify the source of the explanation, rather than how convincing it sounds. Contact details supplied by the caller are not an independent verification channel.

CEO Fraud and Fake Video Conferences

In corporate fraud, an attacker impersonates an executive and demands a payment, a change of bank details or disclosure of documents. A deepfake may reinforce an email already received and create the impression of additional confirmation.

Particularly dangerous instructions combine apparent authority with demands for an exception to the rules: “the transaction is confidential”, “the second approver is unavailable”, or “we will complete the normal paperwork later”. Europol identifies the use of deepfakes for CEO fraud among the risks of criminal exploitation of this technology.

Fake Celebrity Endorsements and Investment Offers

A synthetic video may show a public figure apparently recommending a trading platform, cryptocurrency project or automated investment system. The user then visits a website, submits contact details and receives instructions for making a deposit.

Even genuine participation by a public figure does not replace verification of the financial operator. It is necessary to establish who accepts the money, which services they provide and what permissions they hold.

Romance Scams and False Identities

Synthetic photographs, voice messages and video calls may be used to sustain a false identity. After trust has been established, requests emerge for medical expenses, travel, customs charges or participation in an investment project.

A video call should not be treated as conclusive proof of identity in these circumstances. Verifying the person and assessing the proposed financial transaction are separate tasks.

How to Recognise a Potential Deepfake Scam

Behavioural Warning Signs Matter More Than Resemblance

The circumstances of the approach are particularly significant: an unexpected financial instruction, new bank details, demands for secrecy and attempts to prevent verification. A refusal to continue through a previously agreed channel deserves particular attention.

A single warning sign does not always prove fraud. However, urgency combined with an unusual recipient and pressure to bypass procedures is sufficient reason to suspend the action pending verification.

Audio and Video Irregularities

Mismatched speech and lip movements, unstable facial outlines, unusual image transitions or unnatural intonation may raise suspicion. Similar effects can also result from poor connectivity, video compression or faulty equipment.

The absence of visible defects provides no guarantee either. Research on synthetic speech detection demonstrates difficulties in applying detection results to new generation methods. Visual or auditory assessment should therefore not be the sole basis for a financial decision.

Familiar Numbers and Accurate Details Do Not Establish Identity

A profile photograph may be copied, the displayed number spoofed or a conversation continued through a compromised account. Even precise knowledge of an ongoing project or a counterparty’s name warrants caution: the fraudster may have accessed business correspondence.

Independent verification should rely on a contact or procedure established before the suspicious approach.

How Individuals Can Avoid Deepfake Scams

End the Contact and Verify Independently

If you receive an unexpected request for money or access, end the conversation. Contact the person independently on a previously known number or approach the organisation through its official app.

Do not use a link, number or the details of “another employee” supplied by the suspicious caller. McAfee likewise recommends checking urgent requests through a separate trusted channel, regardless of how familiar the voice sounds.

Agree on a Family Verification Procedure

Discuss in advance how your family will respond to emergency payment requests. A code phrase can provide an additional check if it has not been published or disclosed to outsiders.

Knowing the phrase should not remove the need for caution. Where the recipient is unusual or the amount substantial, make additional contact with the relative or another person able to confirm the situation.

Verify Investment Offers Separately from Advertising

Before paying, establish the legal operator, service terms and payment recipient. Check permissions in the relevant regulator’s official register and compare the contact details with those used in the offer.

A video featuring an “expert” does not prove that assets exist, that returns are genuine or that the organisation is entitled to accept investments. Similarly, an attractive account dashboard does not establish that deposited funds are being used for the stated purpose.

Protect Accounts and Personal Information

Use unique passwords, multifactor authentication and timely updates. Limit access to personal information and review social media privacy settings.

These measures make account takeover more difficult but do not eliminate social engineering. If the account holder authorises a payment after being deceived, technical authentication may work as intended without preventing the financial loss.

How Businesses Can Prevent Deepfake Payment Fraud

Independent Approval of Financial Instructions

Unusual and significant payments should require verification of their basis and separate approval by an authorised employee. An executive’s instruction during a video call should not automatically replace this process.

Verification should cover the amount, recipient, purpose and connection with the contract. Confirming the sender’s identity does not mean that every account detail they provide can be used without further checks.

Separate Verification of Changes to Bank Details

A change to a supplier’s bank account requires its own procedure. Confirmation should be obtained through a contact already included in the counterparty’s verified records, rather than a number in the email announcing the change.

Record the verification result. The first payment to a new account may require additional approval under the company’s internal rules.

Training for Finance, HR and Customer Support

Training should reflect employees’ responsibilities. Finance teams should rehearse urgent payment instructions, HR should practise candidate identity checks, and customer support should address requests to restore access or change customer details.

The measure of successful training is adherence to the verification procedure. An employee does not need to prove that a video is artificially generated before stopping a suspicious transaction.

Identity Verification and Incident Response

Remote identity verification may combine document checks, liveness detection, technical signals and additional review of suspicious cases. The entire process must be assessed, including the possibility of substituted input data.

The organisation should also determine in advance who can suspend a payment, notify the bank, preserve event logs and pass evidence to the legal team. IDnow’s article emphasises cooperation between financial institutions, technology providers and competent authorities.

Can Deepfake Detection Tools Be Trusted?

What a Technical Check Establishes

A detector assesses signs that content was artificially created or manipulated. Its conclusion is not equivalent to identity verification, confirmation of authority or a determination that a payment is lawful.

Both missed fakes and incorrect classification of genuine material as synthetic are possible. Results must be considered in light of the original file’s quality, the analytical method and the limitations of the particular tool.

Liveness Checks and Content Provenance

Liveness detection aims to check that a real person is present during identification. Content provenance information may help establish how a file was created or modified.

These mechanisms address different tasks and do not replace one another. The absence of a label does not prove authenticity, while provenance information does not establish the truth of a financial offer. Research considers a combination of methods more appropriate than relying on a single universal solution.

Deepfakes and European Law in 2026

EU AI Act Transparency Requirements

Article 50 of the AI Act – establishes transparency obligations for certain artificial intelligence systems, including marking and disclosure of the artificial origin of relevant content. According to the European Commission, the article applies from 2 August 2026.

Obligations differ according to the role of the system’s provider or deployer. Exceptions and limited transitional provisions exist, including for certain machine-readable marking obligations relating to systems already placed on the market. It would therefore be inaccurate to claim that all AI content must carry the same visible label in every circumstance.

The AI Act is not a general ban on deepfakes and does not create an automatic right to recover every payment made after viewing a fake video.

Fraud and National Legal Remedies

The use of synthetic content may require assessment under rules concerning fraud, misuse of data, extortion and other offences. The precise legal classification depends on the participants’ conduct and the applicable national law.

A European case requires distinguishing the EU, the United Kingdom and Switzerland. The presence of a European victim or bank account does not mean that identical rules automatically apply to all participants.

What to Do If You Have Been Targeted or Lost Money

Notify the Bank and Secure Your Accounts

Notify your bank of the suspected fraud immediately. Provide dates, amounts, recipients and details of how the transactions were authorised. Ask it to assess whether the payment can be stopped or a return request sent.

Do not wait for an expert deepfake report. For the initial notification, explain the deception and provide the available payment information. If access credentials were disclosed, arrange account protection measures at the same time.

Preserve Original Digital Evidence

Keep original audio and video files, correspondence, account details, conference invitations and transfer confirmations. Do not rely only on a summary of the conversation or an isolated screenshot.

Originals may contain information lost through editing, forwarding or saving a new copy. If new recordings of conversations are needed, separately consider the rules of the relevant jurisdiction.

Report to Competent Authorities and the Platform

A police report concerns the suspected crime. A submission to a financial regulator may be appropriate where a financial offer was promoted. A platform report seeks review of an account, advertisement or publication.

A business also needs an internal assessment: whether personal data was disclosed, whether other customers or employees were affected and whether notification obligations arose. A deepfake call does not, by itself, make every possible notification mandatory.

Can Money Lost to a Deepfake Scam Be Recovered?

The use of a deepfake explains the method of deception but does not determine a single recovery mechanism. Legal analysis begins with the actual transaction.

Bank Transfers and Reimbursement Claims

A return request seeks to recover money through the payment chain. A complaint against the bank raises a separate question about the grounds for compensation.

The UK has specific rules for qualifying APP transfers through Faster Payments and CHAPS  – https://www.bankofengland.co.uk/payments/chaps – between UK accounts. These cannot automatically be extended to international transfers or payments in EU countries. Personally authorising a transaction also does not exclude every potential remedy.

Card Payments and Chargeback

Challenging a card transaction requires establishing what was purchased and who acted as the merchant or service provider. A fake advertising video does not, by itself, guarantee a successful chargeback.

If a card was used to purchase cryptocurrency from an independent exchange that fulfilled the purchase, the subsequent transfer of assets to a fraudster requires separate analysis. The initial card-funded service cannot automatically be treated as undelivered.

Cryptocurrency Transfers and Civil Recovery

Blockchain analysis may help reconstruct the movement of assets and identify a possible connection with a servicing platform. The next step is to assess the ability to identify the recipient, preserve assets and bring a claim.

Preparing civil proceedings requires examination of jurisdiction, evidence, the defendant and enforcement prospects. Even compelling evidence of fraud does not guarantee that the defendant retains property available for enforcement.

Further Fraud Disguised as Recovery Assistance

After a loss, a new “specialist” may appear claiming that the funds have already been located. They may also use synthetic audio or video to support their claimed identity.

The FCA warns about schemes in which victims are approached again with recovery promises and demands for further payments. Particular concerns include guaranteed outcomes, “unlocking” charges and requests for private keys or seed phrases.

How Veritas Advisory Group Can Help

Veritas Advisory Group helps assess suspected fraud, organise evidence, analyse payments and identify potential routes for cross-border recovery.

In a case involving a deepfake, the content of the false approach must be connected to the victim’s specific actions and the movement of funds. Legal assessment and technical media authentication address different questions; the need for an expert examination depends on the circumstances.

For an initial review, prepare a chronology, payment documents, recipient details, correspondence and any original audio or video files retained. If the bank has already considered the matter, include its written response. This information enables an assessment of potential action, costs and limitations without promising a predetermined outcome.