Glossary / Verification & identity

Liveness Detection

Liveness detection checks that a biometric sample comes from a real, present person rather than a photo, video, mask, or deepfake, preventing spoofed identity checks.

What does liveness detection check?

Liveness detection confirms that a biometric sample, usually a face, is coming from a real, present human rather than a spoof. It defends against a printed photo, a replayed video, a silicone mask, or an AI-generated deepfake being held up to the camera. It typically runs alongside a face match: the match confirms who, and liveness confirms that the who is genuinely there.

For example, when someone completes an identity check to be added as a payment approver, liveness detection ensures a fraudster cannot simply present a stolen photo or a synthetic video of that person.

Why it matters for Australian finance teams

Deepfake and voice-cloning fraud have moved from novelty to real threat, and criminals have used AI-generated media to impersonate executives and authorise transfers. Without liveness, a face match alone can be defeated by a good photo or video. For finance teams relying on remote onboarding and approvals, liveness is what keeps a biometric check trustworthy against modern impersonation.

How ezyshield helps

ezyshield pairs liveness detection with biometric matching when confirming the person, so an identity check reflects a real, present individual, not a spoof. That identity check works alongside verifying the business via ABN and ASIC records and confirming bank account ownership before money moves, with re-verification on any change and an append-only audit trail that is never edited or deleted. See how it works and our page on AI-powered fraud.

Also known as: liveness check, anti-spoofing

Last updated: 7 July 2026

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