Deepfake Defense

Every other deepfake detector is reactive. FaceSign is interactive.

A video of a face can fool any camera-based liveness check. FaceSign runs a live, adaptive conversation that generates responses no pre-recorded or AI-synthesized face can produce in real time.

[01] The Problem

Deepfake detection is a losing arms race. Active verification is not.

Every passive detector analyzes what it sees. Deepfake generators improve to defeat that analysis. FaceSign doesn't observe — it interrogates.

Passive detection

Generators improve faster than detectors

Today's best deepfake artifact detector is trained on today's deepfakes. Tomorrow's generators ship with countermeasures. You are always one model update behind.

Liveness checks

Per-frame analysis misses smoothly looped video

Static liveness checks look at individual frames. A high-quality looped deepfake produces no frame-level artifacts. The check passes. The fraud continues.

The fundamental flaw

The deepfake doesn't know what you're looking for

When you're only watching, the attacker controls the input. FaceSign issues challenges the deepfake has never seen — and can never pre-synthesize a response to.

How FaceSign Works

Interactive challenges that no deepfake can prepare for

01

Live session triggered

No upload, no pre-recording. The session exists only in the moment it runs.

02

Adaptive challenges issued

Gaze, expression, spoken response, contextual question. Generated in real time.

03

Each response generates the next challenge

The session is unique every time. Nothing to rehearse.

04

30+ simultaneous signals analyzed

Temporal consistency, micro-expressions, voice sync, behavioral latency.

Detection Layers

Six layers. Any one is enough to catch a deepfake.

Adaptive liveness

Dynamic prompts no replay attack can anticipate

Temporal consistency

Multi-frame analysis catches generation artifacts invisible per-frame

Voice + lip sync

Detects voice clones and audio-visual timing mismatches

Micro-expression analysis

Involuntary signals AI faces cannot generate

Behavioral response timing

Human reaction latency vs AI generation latency

Environmental plausibility

Background, lighting, and context consistency

[04] Deploy Anywhere

Drop into your existing flow in hours

FaceSign wraps around your existing sessions. No rip-and-replace.

Video KYC

Add to existing onboarding flow. One API call replaces passive liveness.

Step-up auth

Trigger at high-risk moments: large transactions, password resets, new device logins.

Web SDK

Browser-based, no app install. Works in any modern browser.

iOS & Android

Native SDK for in-app flows with full biometric access.

See a deepfake fail in real time

Monitor bot traffic, stop volumetric attacks, logic abuse, automation, and targeted bots with a multi-layered Bot Management system.

Try the demo
Session Verdict
DEEPFAKE DETECTED
Temporal Consistency12%
Liveness Score8%
Face Match15%