Mastercard AI Experience Studio
Explore the Future of
AI Technology
Discover how artificial intelligence is transforming business through immersive, interactive demonstrations.
01
Identity Fraud Detection
Deepfake
Simulation
Create a deepfake version of yourself and witness how MasterCard AI can detect synthetic identities.
Explore the Demo
02
Ma.ia
- Intelligent Golf Agent
Experience how AI delivers real-time, personalized insights to refine your golf technique. The technology analyzes your stance instantly and suggests ways to improve your game.
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03
Bizi AI
Bizi is an AI agent that gives feedback and personalized insights. It helps entrepreneurs and small businesses create business plans with ease—whether for investors or internal use.
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04
Agentic Commerce
A generative Ai for eCommerce
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04
Voice & Identity Security
Voice Cloning
& Verification
Challenge
Record your voice and use AI to create a synthetic clone. Mastercard AI attempts to verify the authenticity of the synthetic cloned voice.
Explore the Demo
05
Retail Optimization
Emotion
Recognition
for Merchants
Watch product ads while the AI reads your facial expressions and emotional reactions, to help merchants tailor content based on real-time feedback.
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06
Ask Mastercard AI
Conversational
AI Assistant
Ask Mastercard’s conversational AI questions about commerce, fraud, trends, and consumer behavior, with smart, data-backed responses.
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07
Voice & Identity Security
Smart
Merchant
Pricing Advisor
Simulate how AI dynamically adjusts product pricing based on real-time trends, competitor data, and buyer behavior.
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New Bank Account
Onboarding

When opening a new bank account, fraudsters now use deepfaked IDs and photos to appear real. These synthetic applications can easily bypass traditional verification checks. AI can help detect deepfakes and protect banks from onboarding fake customers.

Here’s how AI can make onboarding more secure.

Credit or Loan
Application

Fraudsters are increasingly using deepfaked identity documents to secure credit and loans. These realistic forgeries can slip through even advanced document checks. AI can help identify deepfake artifacts and stop fraudulent applications early.

Let’s explore how intelligent detection can change that.

Gig Worker
Verification

Fake driver profiles created with deepfaked faces are becoming a growing threat. They mimic real applicants and compromise trust across platforms. AI can help detect deepfake imagery and verify genuine identities before onboarding.

Let’s see how technology can rebuild trust in the process.

Visa & Travel
Authorization

Deepfaked passport photos and biometric images are being used to bypass visa controls. These falsified applications slow down processing and increase border risks. AI can help expose deepfakes and strengthen the integrity of travel verification.

Here’s how smarter verification can make travel safer.

Generate Deepfake Photo
This image is ready to be used to generate a deepfake identity.
Application
Form

Please complete the application form to begin identity verification.

Auto-fill details
This form has been pre-filled with identity details to simulate a typical onboarding flow. In real-world fraud scenarios, attackers often use synthetic or stolen identity information to pass initial checks before verification.
Submit
Let’s get you set up — enter your details to begin.
Full Name
Date of birth
Address
Social Security Number
phone number
Possible synthetic/stolen identity
The system has detected unusual patterns in the entered data and increased the initial risk level.
ID verification

Upload a valid ID document to verify your identity. This step confirms that the provided ID matches the applicant’s details before moving to live selfie verification.

This form has been pre-filled with identity details to simulate a typical onboarding flow. In real-world fraud scenarios, attackers often use synthetic or stolen identity information to pass initial checks before verification.
Submit
Uploaded ID Document

Your ID has been successfully uploaded

This form has been pre-filled with identity details to simulate a typical onboarding flow. In real-world fraud scenarios, attackers often use synthetic or stolen identity information to pass initial checks before verification.
Selfie verification

Please complete a live selfie to confirm your identity. Make sure your face is clearly visible and matches the uploaded ID document.

Selfie verification

Please complete a live selfie to confirm your identity. Make sure your face is clearly visible and matches the uploaded ID document.

The feed has been manipulated to simulate a fraud attempt — showing the face of the ID owner instead of the real applicant. This illustrates how attackers can inject or alter a live camera feed to match a pre-uploaded ID image.
Verify identity
Uploaded ID — pending selfie verification.
Position your face in the frame and take a photo.
Submitted ID
Submitted ID
Submitted ID
Submitted ID
Submitted ID
Live camera feed
Simulated injected feed
Advanced Detection
Signals analyzes and
flags inconsistencies
ADS cross-checks facial signals, metadata, and structural anomalies — flagging high-confidence indicators of deepfake generation.
Key Takeaway
Deepfake and synthetic identity fraud is growing.
Mastercard’s AI-powered identity systems analyze beyond the surface — protecting institutions from onboarding fraud in real-time.
Continue
Detection Analysis

Your ID has been successfully uploaded

Liveness Artifacts
The system evaluates natural facial signals—micro-expressions, depth, and skin behavior—to spot patterns typical of synthetic or manipulated faces. Detected irregularities result in a flagged status.
Device / Source Validation
Metadata, capture properties, and device identifiers are checked against expected profiles. Missing, altered, or spoofed device signals trigger an anomaly result.
Frame/Audio Consistency
Lip motion, timing, and audio-video synchronization are analyzed to confirm natural alignment. Any mismatch suggesting editing or replacement is flagged, while consistent signals pass.
Network / Stream Integrity
The system reviews transmission patterns, latency behavior, and stream authenticity. Abnormalities indicating tampering, injection, or pre-recorded feeds lead to a flagged outcome.
Pixel & Temporal Analysis
Pixel structure, lighting continuity, and frame-to-frame stability are assessed. Deepfakes often introduce noise, flicker, or rendering inconsistencies, which raise anomaly scores.
Aggregate Anomaly Score
All detection signals are combined into a weighted score that reflects overall manipulation risk. Higher values indicate stronger evidence of synthetic or altered media.
Liveness Artifacts
Device / Source Validation
Frame/Audio Consistency
Feature Symmetry
Facial Depth Map Integrity
Feature Symmetry
Record Your Voice
Open Voice Recorder to record a sample of your real voice. This sample will be used to create a voice clone.
Record
Your Voice
Open Voice Recorder to record a sample of your real voice. This sample will be used to create a voice clone.
Voice Recorder
recording
paused
playing
paused
00:00
Read the following sentences aloud:
My voice is my identity.
Can you tell the difference?
Recording Quality
Voice Volume
Voice Clarity
Background Noise
Generate a
Cloned Voice
Using state-of-the-art AI, your voice is cloned in seconds. The system will now attempt to use this synthetic voice for verification.
Generating Voice Model...
Processing Details...
Extracting voice features
0%
Building voice model
0%
Preparing for inference
0%
Try to trick
the system
The cloned voice is submitted for identity verification. Mastercard AI treats it as a login attempt — will it pass?
Submitting for Verification...
Processing Details...
Analyxing vocal biometrics
0%
Checking against authentication baseline
0%
Evaluating synthetic pattern markers
0%
AI Makes
the Call
Synthetic or real? Mastercard’s AI voice authentication system evaluates subtle biometrics, cadence, and vocal signatures — stopping deepfake attempts in real-time.
Synthetic Voice Detected
processed Details
Synthetic Voice Detection
Multi-factor Security
High
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