Deepfakes and verification: what businesses should know
Deepfakes, images, videos and voices created or altered by software, are now cheap and convincing. For businesses, the risk is not only fake celebrity clips. It is a cloned voice asking finance to pay an invoice, an edited face on a KYC video or a fake candidate in an interview.
Why it matters
Verification used to assume that seeing and hearing someone meant it was them. That assumption is weaker now. Businesses that rely on a single selfie or a single call can be fooled.
Where businesses see it
- Voice cloning: a call from a 'senior' asking for urgent payment.
- Video KYC: edited video or a replayed recording.
- Hiring: altered faces or voices in remote interviews.
- Customer support: impersonating customers to reset accounts.
- Claims: edited photos and documents.
How to reduce the risk
- Use layered checks, not just one: ID, face match, liveness and device or location signals.
- Use live prompts, such as turning the head or reading a random number, which are harder to fake in advance.
- Confirm sensitive requests on a second channel, for example a call back on a known number.
- Set payment rules, such as two approvers and a cooling period for new accounts.
- Train staff to pause when a request is urgent and unusual.
- Keep a human reviewer for flagged cases.
- Record and log checks so you can investigate later.
What not to do
- Do not rely on a single photo or recording
- Do not treat a match score as the final answer
- Do not shame staff for double-checking
Plan for the day it happens
Decide in advance who to call, how to freeze payments and how to preserve evidence if a deepfake attempt succeeds. Report the incident to your bank and to the cybercrime helpline 1930 quickly, because speed often decides whether money can be recovered.
How Praman helps
Praman by SatyaSakshi uses live WhatsApp video calls with prompts, face match and liveness, with time and location recorded. Mismatches are flagged for a reviewer rather than decided automatically. Other checks, such as bank-account name or court records, are added where enabled, so one signal never decides alone.
Frequently asked questions
What is a deepfake?
An image, video or audio clip made or changed by software so that it looks or sounds like a real person.
Can liveness checks stop deepfakes?
They make many attacks harder, but no single check is perfect. Use layered checks and human review for high-risk cases.
What can a small business do?
Confirm unusual requests on a second channel, verify identity on live video with prompts and keep records.
Related: how Praman handles this for businesses · all instant checks
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