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LIVE PRESENCE

A face on screen.
A person present.

FaceX’s anti-spoofing checks assess whether presented face evidence is consistent with a live person. This layer works with deepfake detection and camera authenticity to address photo and replay attacks.

Concept illustration of anti-spoofing using navy and frosted glass
Concept illustration · Fictional evidence, not a verification result.
Live presence assessment

Evaluate the presented face evidence.

Photo & replay defenses

Assess common presentation attacks.

Guided capture

Clear instructions through the face journey.

THE PROTECTION LAYER

Anti-spoofing, explained.

01

Printed portraits

A photograph can resemble an identity reference while providing no live presence. Anti-spoofing examines the presentation rather than relying on resemblance alone.

02

Screen and video replay

A recorded person can be shown to a genuine camera. Replay defenses assess whether the presented evidence belongs to a live verification journey.

03

Guided face capture

FaceX’s circular head-turn guide helps the applicant complete capture. Completing a motion instruction is one part of the evidence, rather than a sufficient approval on its own.

FROM CAPTURE TO CONFIDENCE

How the evidence connects.

Presentation evidence is assessed alongside the capture sequence. The combined result supports the risk decision rather than acting as a standalone identity approval.

THE EVIDENCE JOURNEYConceptual security flow
Face presentationWhat is shown to the camera
Capture sequenceEvidence across the session
Guided interactionApplicant capture journey
Anti-spoofing assessmentLive presence and presentation evidence
Combined risk decisionRequired checks and unresolved risks considered together
ApproveRequired evidence is consistent
ReviewMore evidence or attention needed
RejectBlocking risk or failed requirement
Illustrative relationships. Actual processing order and policies depend on the integration.
SEE THE DIFFERENCE

Evidence changes the outcome.

Choose a scenario to see how different signals can affect an example decision.

Illustrative scenarios only. These qualitative signals and policies do not expose production scores or thresholds. No camera access, biometric capture or live check occurs on this page.

EVIDENCE MATTERS

Confidence with context.

The security checks answer different questions. Complete identity verification needs their combined evidence.

Uncertainty remains visible

An inconclusive check is not the same as a passed check. Review and recapture paths can preserve that distinction in the applicant journey.

Performance has a scope

FaceX’s reported 99% deepfake figure does not establish a separate camera-integrity, anti-spoofing or full-system success rate. Read the performance context.

COMMON QUESTIONS

A clearer understanding.

How is anti-spoofing different from deepfake detection?

Anti-spoofing assesses presentation and live presence. Deepfake detection assesses synthetic or manipulated media. A replay may contain an unaltered face, while a generated face can arrive through an injected feed.

Is turning the head enough to pass verification?

No. Guided movement supports the capture journey. The final decision must consider the other required security and identity evidence.

Does the illustration show an actual verification result?

No. The artwork uses fictional people, and the scenarios use invented evidence summaries. They explain the defenses without collecting identity information.

Further reading: NIST guidance on digital injection and forged media and NIST presentation attack detection evaluation.These sources explain the threat categories and evaluation concepts. They do not certify FaceX or validate its reported performance.