ZoOm

SAY GOODBYE
TO
SPOOFING FRAUD PHISHING FRICTION ID THEFT BOTS BREACHES IMPOSTERS PASSWORDS


Trusted to Protect Over
400,000 New
User Accounts Every Month

Zoom Logo

ZoOm® 3D Face Liveness & 1:1 Verification Software

iBeta/NIST Certified Anti-Spoofing – Level 1&2
World-Leading 3D Matcher: 1/4,200,000 FAR @ <1% FRR

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ZoOm in WebCam

Universal 3D Liveness, KYC & Matching for +10 Billion Smart Devices & Webcams.

Ends Identity Theft.
UnSharable, UnPhishable & virtually Spoof-Proof.   

Patented ZoOm-in user experience creates a 3D FaceMap with a simple selfie.

FaceTec Anchors Digital Identity

with the Most Secure Certified 3D Liveness Detection in History
Verifies
Liveness
Verifies
3-Dimensionality
Verifies
Identity

 

ZoOm Links a User’s 3D Face to Their Account, & Verifies Liveness Every Time.

Frictionless Security
For Real Users

ZoOm makes Liveness Checks and 3D face authentication fast, easy and incredibly secure for everyone, regardless of their device.  The same intuitive ZoOm UI provides Liveness Checks, Onboarding  and Ongoing user Authentication.  Simply center your face in the oval and move the camera a bit closer.  That video-selfie verifies Liveness, matches the 3D FaceMap and provides instant access.

Brick Wall
for Bad Actors

ZoOm provides access security for any app or webpage, unlocking everything from your car door to your bank account.  During onboarding, a 3D FaceMap is created anchoring the chain of trust for ongoing password-free user authentication from any smartphone, tablet, PC or Laptop.  ZoOm offers more security, flexibility, portability and convenience than any other biometric.

white mobile device

 

 

For all modern
smart devices & webcams

 

instant authentication after a 10-second onboarding

 

Works in real-world lighting conditions

 

Great with Glasses, Makeup & Beards

 

3D Liveness + 1:1 Matching

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SECURITY CERTIFIED
#1 IN THE WORLD

#trueliveness

#Certified

Can a Selfie Really Provide Security?
Obviously, selfies are easy to take.  But the real question is whether or not they can provide effective access security.  Typically they don’t, but ZoOm’s patented process isn’t just a selfie, it’s a quick face scan that results in both a 3D FaceMap and Liveness Data.  ZoOm detects the difference between “likeness” and “liveness” to prevent masks, dolls, videos or photos from fooling the system.

 

Liveness detection algorithms must observe so many concurrent human traits that no spoof attempt could recreate them all at once.  ZoOm’s 3D Face Matching compares the user to their previously-enrolled 3D FaceMap, and if the two FaceMaps highly match (4.2M+ FAR) the now proven-legitimate user is granted access.

ZoOm’s Encrypted 3D FaceMaps:

  • Can’t Be Phished From Users
  • Aren’t a Biometric Honeypot
  • Stop Credential Sharing
  • Stop Botnet Attacks
  • Match 1:1 & 1:N Better

Want To Learn More?   

 

Read The WHITE PAPERS

No Liveness Data = No Honeypot Risk
There are two types of data required for every secure face authentication, Face Matching Data and Liveness Data. Each acts as a part of the same key, and both must be present to gain access. With ZoOm only the 3D FaceMap is ever stored, the ZoOm Server SDK automatically deletes the Liveness Data immediately after each session. Since the 3D FaceMap itself isn’t enough to gain access, new Liveness Data must be collected, time stamped, encrypted and verified for every new ZoOm session. Without storing Liveness Data there is no honeypot risk, and just as photos from Google, Facebook, Instagram or LinkedIn can’t spoof ZoOm, neither can a standalone 3D FaceMap.

HOW ZoOm WORKS

ZoOm observes the user’s head, neck, ears, hair, facial features and their environment as the camera is moved closer to the face.  During the ZoOm motion, the camera’s view of the face changes and perspective distortion will be observed if the face is 3D.  Conversely, no distortion occurs with 2D objects like photos or videos.  FaceTec’s proprietary algorithms capture ~30 video frames while tracking the motion of the device.  The result is dynamic perspective, 3D face authentication from a standard 2D camera.

 

Anti-Spoofing Certifications

FaceTec is not just another “Facial Recognition” company.  Over the last five years, we dove more deeply into anti-spoofing than anyone else – ever.  In our own lab we have performed tens-of-millions of spoof attempts with every conceivable type of media while finding ways to stop them.  The ISO 30107-3 testing standard guides Anti-Spoofing testing of Biometric Systems conducted by the only NIST/NVLAP-accredited lab, iBeta.

Presentation Attack Detection tests include:

  • 2D paper photos & digital images
  • High resolution videos
  • Image swap-in after liveness check
  • Paper masks with eye & mouth cutouts
  • Hollywood masks, wax figures & lifelike dolls
  • Photos or video frames animated into avatars
  • Video projections on 3D heads
  • Sleeping users with closed eyes
  • Impostors, lookalikes & identical twins

Passing the rigorous iBeta Level 1 & 2 tests results in an unsharable, unphishable biometric that is virtually impossible for criminals to recreate reliably using today’s media technology.

     

Why Other Biometrics Fail

3d face verification

#Trueliveness

  • Despite constant hype, legacy biometrics will never replace passwords because they don’t have robust liveness detection, aren’t portable across devices, and can’t stop phishing, credential sharing or complicit user fraud.  So trusting an unsupervised authentication remains impossible.
  • Weak liveness detection – like wink, blink or smile – is easily spoofed by photos and avatar videos. It doesn’t matter how many weak factors you string together for MFA. If a cooperative user can spoof the system with self-captured media, then it can’t be considered secure.
  • ZoOm’s robust liveness detection stops external threats like phishing, and internal threats like credential sharing and buddy punching.
  • ZoOm is so secure it’s the ONLY factor in many high-security scenarios, such as car-sharing, border security, mobile banking and mobile payments.
  • ZoOm is the new standard in biometrics because it’s universal, portable across-devices and across-platforms just like a password, but much more secure.

Biometric Best Practices

   

     

   

   

   

  • Choose strong 3D liveness & anti-spoofing technology. Without it, you can’t trust unsupervised authentications and you will be at risk for security and PR problems.
  • Don’t expect users to buy a specific device just for your biometric. It needs to work on what they already own.
  • Insist on a straightforward, intuitive interface. Users must prefer the biometric or they won’t use it.
  • Server-side matching is the only biometric model that can truly replace passwords, enable cross-platform logins, simplify device upgrades and allow multiple devices/user. On-device matching isn’t future-proof.
  • Choose a diverse algorithm. Don’t be accused of having a “biased” biometric just because the training sets used to create it were too homogeneous. ZoOm trained with users from over 160 countries.
  • Get the Forrester Report: The State Of Facial Recognition For Authentication And Verification

3D Liveness + 1:1 Matching

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2D vs. 3D

Legacy 2D Face Recognition has never provided large scale 1:1 security for consumers.  Modern AI has made it better, but 2D will never work well with large data sets.  There’s just too much variability in capture distances and not enough differentiation in human faces when they are flattened into 2D.  Apple’s 3D Face ID is a special hardware sensor that unlocks one specific phone, which like fingerprint readers are “On-device” biometrics which only bind a user to a specific device.  No one seems to realize that to actually replace passwords users’ biometrics must be linked to their accounts, so their identities can be proven to a 3rd party.

Type

2D

3D

ZoOm® 3D

Axes X,Y X,Y,Z X,Y + Time
Vendors
Aware, Cognitec, Daon, FacePhi, Idemia, iProov, etc.
Apple Face ID FaceTec
Purpose Face Verification Unlock Mobile Phones Universal 3D Face Authentication
Installed Base
10+ Billion Smart Devices [Android (85%) + iOS (14%) & Webcams
< 10% of in use iOS devices have Face ID
10+ Billion Smart Devices [Android (85%) + iOS (14%) & Webcams
Portability Varies None, re-enroll on every device Cross-Device & Cross-Platform
Technology Legacy 2D Algorithms Hardware: Infrared Camera Array and Neural Network Chip Software: Real-time Computer Vision + 100% proprietary AI
Interface Varies Glance to unlock phone 3D Video Selfie: ~1.5 Seconds
SDK Info Varies No SDK possible, special hardware required Device SDKs for Android/iOS, web & Server SDK
Liveness Challenge Response: Blink, Smile, Turn Head & Flashing Lights, etc. Projected infrared dots, special neural network chip determines if the user is 3D TrueLiveness® measures 3D Depth, skin texture, eye reflections, eye focus, & more concurrent human traits
Liveness Detection Weak Weak  Strong
3D Depth Detection None - Weak Strong  Strong
Intellectual Property Legacy tech too old for meaningful patents 20+ infrared related patents from the purchase of PrimeSense in 2013 3 US Patents on 3D process issued, +10 pending globally
FAR/FRR Varies, but <100,000 at real world usable FRRs 1/1M - No FRR stated 1/4,200,000 @ < 1% FRR
Identical Twin Differentiation Very Weak Apple says, “If you have a Twin, use a PIN.” High 1:1 FAR provides Best Possible Twin Differentiation
Liveness Testing Certifications No 3rd Party Certs No 3rd Party Certs iBeta – Certified Level 1 & 2 Spoof Detection
Additional Notes Typically used in multi-factor. Apple says the biometric data will never leave the device Liveness data deleted immediately after matching, removing honeypot risk.

Clients & Partners

FaceTec is proud to highlight just a few of the organizations providing ZoOm’s class-leading biometric security.

3D Liveness + 1:1 Matching

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Developers: Get the best biometric

Add ZoOm to your own app with a ZoOm Developer Account.

Get Developer Access

#trueliveness

#instantaccess

  • Supports iOS 8.3+ & Android 4.3+ devices & webcams
  • Available in 30+ languages with easy customization
  • Portable, cross-device, cross-platform 3D face matching
  • Unrivaled liveness detection, Certified PAD Level: 1&2
  • False Acceptance Rate (FAR) of 1/100,000 – 1,000,000
  • Encrypted FaceMap storage on managed/private cloud
  • Lightweight & easy-to-integrate SDKs
  • Simple, straightforward and secure RESTful API
  • Codebase Tested by Praetorian Security
  • Plugins for Xamarin, Appcelerator/Titanium, Phonegap, Cordova, Ionic & React Native

View the ZoOm Configuration Options

ZoOm is free for many organizations – See Pricing

Ready to integrate?

 

Get Your Developer Account

 

ZoOm Pricing

ZoOm via FaceTec Managed API is free for educational use and to developers.  Enterprises, businesses and those who wish to host the ZoOm Server SDK on their Cloud/Server are billed monthly based on usage.

ZoOm via Managed API is Free for:

  • Educational use
  • Developers

ZoOm is Billed Per User or Per Session for:

  • Large & small businesses
  • Enterprise accounts
  • Government agencies

Get A Pricing Quote

 

3D Liveness + 1:1 Matching

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Press Links

3D Liveness + 1:1 Matching

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About FaceTec

Founded in 2013, FaceTec is the world leader in 3D Face Authentication software with offices in San Diego, CA, Summerlin, NV, New York, NY & London, England.

management Team

Kevin Alan Tussy - CEO

Software systems architect; 4-time tech founder, the first in 1999 (exited) and 3 in Fintech since 2007 (all successfully operating)

LinkedIn

Josh Rose - CTO

Top face authentication and artificial intelligence expert, formerly with Microsoft

LinkedIn

Satya Yenigalla - COO

MS computer science, formerly with Samsung, Oracle, Cloudscape/IBM

LinkedIn

Rich Lobovsky - Sr. VP Business Dev

Over 25 years experience in customer and channel partner development in key roles at Samsung SDSA, Verizon and Qualcomm.

LinkedIn

Steve Cook - VP of New Business

Leading biometrics, GDPR and PSD2 expert with over six years creating digital identity strategies for banks and enterprises

LinkedIn

advisory Board

Alfred Koh - CEO Microsoft Korea

Former CEO of Samsung SDS, Hewlett-Packard Malaysia and IBM

LinkedIn

Patrick Flynn - Department Chair

Computer Science & Engineering at Notre Dame

Google Scholar

Kevin Bowyer - Schubmehl-Prein Professor

Computer Science & Engineering at Notre Dame

Google Scholar

Chad Miller - Partner at Weide & Miller, Ltd

Lewis & Clark Law School

LinkedIn

Jay Meier - Founder & Managing Partner

Sage Capital Advisors, LLC

LinkedIn

3D Liveness + 1:1 Matching

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Contact FaceTec

or Request A Quote

3D Liveness + 1:1 Matching

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