Deepfake prevention for businesses
Deepfake security is now a payments problem. Attackers use AI-cloned voices, synthetic faces and spoofed email to push employees into wiring money or changing bank details. This guide covers what deepfake prevention actually looks like inside a company.
What deepfake fraud looks like
Most business deepfake attacks are not about spreading misinformation. They are about getting one person to take one action: release a payment, change a vendor’s bank account, reset a password or hand over a code. The fake is only the delivery method. Common forms:
- Voice cloning on a phone call. A few seconds to a few minutes of public audio (a conference talk, a podcast, a voicemail greeting) can be enough to build a convincing voice clone. See AI voice cloning fraud.
- Synthetic video on a live call. A widely reported 2024 case involved a Hong Kong finance employee who joined a video call with what appeared to be the company’s executives and authorised a series of transfers worth tens of millions of dollars. The other participants were reportedly fakes.
- Spoofed or look-alike email that sets up the call, or follows it with “official” payment instructions. See CEO fraud and business email compromise.
Why seeing and hearing is no longer proof
Hiring, finance and support processes were built on the assumption that a familiar face and voice meant a real person. That assumption now fails. It also fails quietly: a good clone does not feel fake. Pressure, secrecy and urgency (“I’m boarding, wire it now, keep this between us”) do the rest.
The layers of deepfake prevention
No single control is enough. Effective programmes stack several:
- Verify the request, not the voice. Any payment, bank-detail change, gift-card purchase or credential request gets confirmed through a separate channel the requester does not control. This is called out-of-band verification, and it is the control a deepfake cannot defeat, because the attacker is not holding the real person’s phone.
- Remove single-person approval for high-value actions, and make call-back rules apply to executives too.
- Detect where you can. Live checks on calls and email can flag synthetic voices, look-alike domains and spoofed senders. Treat detection as a warning light, not a verdict. See detection vs verification.
- Train with realistic drills. Teams that have practised saying “I need to confirm that” to a convincing “CEO” do it under real pressure.
- Keep an audit trail. Who asked, who confirmed, when and the outcome. It helps with incident response, auditors and cyber insurers.
How Wardeye helps
Wardeye is a digital security system built around that first layer. An approver sends an “Is this you?” to the real person’s enrolled phone, who approves or denies with Face ID. On the Shield plan, the Mac app also detects calls and runs live face and voice checks on-device, and a Microsoft 365 connection flags email impersonation, beside your existing email gateway. Wardeye is in early access and offered through pilots; it is an extra layer and cannot guarantee detection (see Disclaimers).
Frequently asked questions
What is deepfake prevention?
Deepfake prevention is the set of controls that stop AI-generated voices, faces and messages from tricking people into harmful actions such as wiring money or sharing credentials. For businesses the most reliable control is verifying the request through a separate channel, not trying to spot the fake by eye or ear.
Can deepfakes be detected reliably?
Not reliably enough to bet a payment on. Detection tools can miss good fakes and flag real people, and attackers adapt. That is why verification of the request through the real person’s own device is the stronger control, with detection as an additional warning.
What should a company do if it suspects a deepfake call?
Pause the action, do not use contact details supplied by the caller, and confirm through a known channel such as the person’s enrolled phone or a number from your own directory. Then report it internally and keep a record.
Does Wardeye record calls?
No. The Mac app detects that a call is in progress from microphone or camera use. It does not record or upload call audio or video.