How businesses can respond to deepfakes is less about turning every employee into a forensic analyst and more about building identity, process, and permission checks into everyday work. Deepfake voices, videos, and profile images can impersonate executives, support agents, vendors, or job candidates, then push people to send money, change payment details, disclose data, or spread fake statements. The FBI has repeatedly warned that AI-generated audio, video, and images are being used for fraud, extortion, and impersonation.［1］

Key Takeaways

The biggest deepfake risk is not visual realism; it is how fake content slips into real workflows.

Finance, HR, customer support, PR, and IT support teams are especially exposed.

Callback verification, dual approvals, separated permissions, and escalation paths stop many attacks.

Training should focus on process checks, not just spotting visual flaws.

If you want the basics of AI voice fraud first, read what AI voice scams are.

How businesses can respond to deepfakes: understand why they become business risk

Businesses already rely on signals that feel familiar: a manager's voice note, a vendor email, a video interview, a support ticket, or remote IT help. Deepfakes make those signals cheaper to fake.

Business process	Common fake	Possible result
Finance payments	Executive voice or video demanding payment	Funds sent to an attacker
Vendor management	Fake contract or payment-change notice	Vendor payments hijacked
HR hiring	AI avatar and false identity	Internal systems exposed
Customer support	Fake customer or employee request	Account reset or takeover
Public relations	Fake statement or interview clip	Brand trust damaged

At heart, this is still social engineering: attackers are not breaking the system so much as breaking trust inside the process.

Which warning signs matter most?

Do not only look for visual glitches such as mismatched lip movement. In many incidents, the suspicious part is the request itself. CISA likewise recommends pausing and independently verifying suspicious requests instead of acting through the message itself.［3］

Someone asks you to bypass approval;
Payment details are changed at the last minute;
You are told not to verify through the normal channel;
The request is framed as urgent;
The person refuses a written record;
You are asked to install remote-control software;
You are asked for codes, keys, or internal files;
Audio or video quality is odd, while the caller keeps explaining it away.

The FTC also advises people to verify urgent requests from relatives or familiar contacts by calling a known number, rather than using a new channel supplied by the caller.［2］

How can a company build deepfake resilience?

Finance: confirm high-risk payments through two channels

Large payments, payment-account changes, cross-border transfers, and urgent payments should trigger dual approval and callback verification. The callback should use a number already stored in your system, not a number provided in email or chat.

HR: verify identity and devices in remote hiring

Remote interviews can include dynamic questions, document checks, background screening, and preboarding device-security steps. Be especially careful with roles that touch code, production systems, or customer data.

IT: account resets cannot rely on voice alone

Help desk requests to reset passwords, disable MFA, or grant temporary access should go through tickets, identity checks, and audit trails. Attackers love the line: "I'm the boss, my phone is broken, reset this now."

PR: prepare a fake-video response plan

If a suspected fake video or statement appears, do not build the response team from scratch. Prepare statement templates, evidence-preservation steps, platform-reporting paths, and media contacts ahead of time.

How should employee training change?

Training should not only show people side-by-side fake and real videos. AI quality changes quickly, and visual detection will keep getting less reliable.

Scenario-based drills work better:

A boss's voice demands an urgent transfer;
A vendor email asks to change payment details;
An IT call asks you to read out a code;
A job candidate asks to skip background checks;
A reporter sends a suspicious executive video for comment.

Each scenario should give employees one clear action: stop, verify, report. Pause the workflow, verify through a trusted channel, and report to the designated security or finance owner.

Do small businesses need all of this?

Small businesses do not need to buy complex systems first, but they do need minimum process controls. Start with three things: two-person payment approval, logged account resets, and callback verification for vendor payment changes.

Those controls are inexpensive and block many scams that depend on looking familiar.

What role does a VPN play in deepfake risk?

A VPN cannot detect fake video or stop an employee from trusting a fake voice. It can reduce network exposure during remote work, especially on public Wi-Fi, hotel networks, and temporary meeting venues.

So VPN protection is one layer of remote-work security. Deepfake defense still depends on approvals, identity checks, permission controls, and training.

Summary

Deepfakes make impersonation cheaper, and business risk lands most often in finance, HR, IT, support, and PR workflows.
Do not rely on visual detection. Build two-channel confirmation and audit trails into the process.
Training should emphasize "stop, verify, report" instead of asking every employee to judge video authenticity.
A VPN protects the connection, but it cannot replace process verification.

FAQ

What is the biggest deepfake risk for businesses?

Usually, it is impersonation that leads to payment, access, data, or brand risk, not merely the spread of a fake video.

Can people spot deepfakes by eye?

Sometimes, but they should not rely on it. Generation quality keeps changing, and process verification is more reliable than visual judgment.

What should finance teams change first?

Payment-account changes and large payments should require dual approval and callback confirmation through known channels.

Do small businesses need deepfake detection tools?

Not always. Payment controls, account-reset logs, vendor verification, and staff drills usually deliver more value first.

How are deepfakes related to phishing?

Deepfakes are new material for social engineering and phishing. Attackers still need to make you click, pay, authorize, or disclose something.

Can a VPN prevent deepfakes?

Not directly. A VPN protects the network connection. Deepfake defense depends on identity verification and business process controls.

Disclaimer: This article is for general cybersecurity education only and does not constitute legal, financial risk, or corporate compliance advice.

AethoVPN publishes this guide, but a VPN connection cannot resolve the issue discussed here: how businesses can respond to deepfakes.

Sources:

FBI - Malicious actors manipulate photos and videos to create explicit content and sextortion schemes: https://www.ic3.gov/PSA/2023/PSA230605
FTC Consumer Advice - Scammers use AI to enhance their family emergency schemes: https://consumer.ftc.gov/consumer-alerts/2023/03/scammers-use-ai-enhance-their-family-emergency-schemes
CISA - Avoiding Social Engineering and Phishing Attacks: https://www.cisa.gov/news-events/news/avoiding-social-engineering-and-phishing-attacks Sources checked 8 May 2026.

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