More Related Content Similar to Biometric Trends for 2017 Webinar (20) Biometric Trends for 2017 Webinar2. Before We Begin
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You may submit questions at any time, but we will respond at the
conclusion of the presentation during the Q&A session
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3. Speaker
Alan Goode
• Founder & Managing Director, Goode
Intelligence
• Technology and Management consultant with
over 18 years of experience
• Specializes in Telecommunications and
Information Security
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4. Agenda
As the new year approaches, it’s an opportune time to take a look at how
innovations in related technology are going to impact biometrics, and how
different markets, including healthcare and financial services, could be
deploying biometric authentication in 2017.
In this webinar we’ll discuss:
• Predictions for adoption and technology including
• Mobile
• Smartcard
• Wearable
• IoT
• Market activity (hot areas for growth)
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6. Mobile Biometric Trends
• Only been three years since Touch ID
introduced on iPhone 5s in 2013
• Now every major smart mobile device ships
with integrated biometric sensor with native
biometric APIs
• Fingerprint Sensors
• Iris recognition support (camera modifications)
• Software biometric applications leverage built-
in capabilities
• Camera for touchless fingerprint & facial
recognition
• Microphone for voice
• Touchscreen for behavioral
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7. Mobile Biometric Trends
• Integrated Sensors - Fingerprint
• Dominates with over 1 billion devices available
for 2017 (source Goode Intelligence)
• Low-cost small-area size sensors are adequate
for low-risk scenarios
• New fingerprint technology arriving:
• Ultrasound
• Optical
• In-glass (through screen no button)
• Arms-race to improve anti-spoof and liveness
capabilities
• Native APIs allow third-party access to fingerprint
service – opens the door
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8. Mobile Biometric Trends
• Integrated Sensors – Iris
• Emergence of Iris recognition on mobile during
2016
• Requires Near-Infrared (NIR) light to provide
lighting for iris
• Handful of smart mobile devices including Fujitsu
Arrows NX F-04G and Samsung Galaxy Note 7
(discontinued due to battery issues)
• Iris deemed to provide better security & aimed
for higher levels of assurance including
enterprise use
• 2017 will see more mobile devices ship with Iris
recognition capability – not a fingerprint
replacement
• Tens of millions of devices
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9. Mobile Biometric Trends
• Mobile Biometric Applications - Contactless
Fingerprint
• Leverages rear-facing camera
• Available on virtually all smart mobile devices
• Not restricted to native systems that always store the
template on the device
• Includes Veridium’s 4 Fingers TouchlessID
• Captures four fingers
• >500 DPI resolution – same as high-end fingerprint
sensors
• Good liveness and anti-spoof capability
• Supports authentication and identity applications
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11. Smart Card Biometric Trends
Two main models:
• Integrated sensor on card
• Biometric template stored on card
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12. Smart Card Biometric Trends
• Integrated Sensor:
• Fingerprint
• ECG (heartrate)
• Fingerprint:
• PIN replacement
• Pilots in 2016 for payments & physical access control
• Sensor suppliers ramping up orders for 2017
• Adds cost to smart cards – substantial increases for
EMV cards
• ECG (heartrate):
• Early proof of concept stages
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13. Smart Card Biometric Trends
• Biometric template on card
• Match-on-card
• Predominantly fingerprint
• Other modalities used in national ID schemes (India’s UID)
• Converged national ID and payment biometric cards
• Enrolment & verification using stand-alone biometric
reader with match on card
• VISA has EMV biometric card specification
• 145 million biometric payment cards for 2017(source
Goode Intelligence)
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15. Wearable Biometric Trends
• Between ‘Innovation’ & ‘Pilot’ stages of adoption curve
• Biometrics feature on wearable devices primarily for
health & lifestyle monitoring
• Limited examples for authentication & identity
• Nymi band using ECG
• Consortium creating proof-of-concept for fingerprint
integration on smart watches
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16. Wearable Biometric Predictions
• Prediction that biometric sensors will be integrated into
consumer wearables for authentication & identity
during 2017
• Opportunity for converged physical / logical access
control especially for enterprises
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18. IoT Biometric Trends
• IoT covers so many ‘Things’
• Share common biometric identity applications for
access & authorization including:
• Opening a door (Home & Auto)
• Accessing home automation, security & entertainment
services
• Payment
• Two areas of ‘Things’ that offer opportunity for
biometrics are:
• Home
• Automobile
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19. IoT Biometric Trends
• Home IoT Biometrics
• At innovation & opportunity stage
• Home automation control systems
• Temperature
• Security
• Lighting
• Entertainment
• Access control
• Biometric-controlled door locks
• Models include:
• Smartphone as home controller
• IoT device integration - Example is voice control &
potential for biometric authentication:
• Siri
• Amazon Echo (Alexa)
• Google Home
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20. IoT Biometric Trends
• Automobile IoT
• Many adoption models including:
• Biometric sensor integrated into car:
• Lock
• Touchscreen
• Steering wheel
• Biometric sensor integrated into key
• Biometric enabled smart mobile device
• Biometric enabled watch
• Platform wars coming to the auto industry
• Biometric identity seen as enabling disruptive services:
• Car sharing
• Autonomous & driverless cars
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22. Biometric Trends 2017 – Market Overview
• Increasing levels of biometric authentication adoption across all verticals in
particular finance, healthcare and enterprise
• Mobile continues to be dominant biometric device
• More mobile devices supporting both single and multiple sensors
• Mobile Biometrics to dominate the 2FA and MFA markets
• Mobile Biometric software applications to reduce reliance on natively supplied
biometric services & to enable service providers to regain control of their user’s
identities
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23. Biometric Trends 2017 – Market Overview
• Native mobile biometric service ‘opens the door’ & then biometric
authentication platform supports full-service delivery
• Anti-spoof and liveness becomes increasingly important to counteract
higher levels of attacks as biometrics becomes predominant user
authentication mechanism
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24. Biometric Trends 2017 – Market Overview
Financial Services
• Biometric authentication platforms to support omni-channel financial
services – rather than point & ‘siloed’ solutions
• Twin drivers of financial fraud reduction and increasing customer
convenience
• Widespread and accelerated adoption across all sectors of finance including
traditional and challenger (FinTech)
• By 2020 over 16 billion mobile biometric payment transactions will be
made (source Goode Intelligence)
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25. Biometric Trends 2017 – Market Overview
Healthcare
• Slower to adopt than financial services
• From 2017 will see greater adoption
• Driven by regulation and rising cases of medical identity theft
• Ability to provide convenient method to verify patient identity and
authenticate healthcare workers
• By 2020 market opportunity will enable a $5-6 billion industry (source
Goode Intelligence)
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26. Biometric Trends 2017 – Market Overview
Enterprise
• Concerns over security and accuracy of some biometric authentication
services has restricted deployment to a handful of examples
• Opportunity for converged physical and logical biometric identity services to
allow access to buildings and digital resources
• 2017 shall see increasing levels of enterprise biometric adoption driven by
arrival of enterprise-grade biometric authentication and identity services
supporting enterprise active directory implementations
• By 2020 market opportunity will enable a $2-3 billion industry rising
from current valuation of $300 million (source Goode Intelligence)
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27. Biometric Trends 2017 – Summary
• Biometrics is one of the hottest areas of technology at the moment
• We are only scratching the surface of its capabilities
• The availability of integrated biometric sensors in widely available consumer
devices and the ability of biometric applications to leverage built-in
hardware is enabling a revolution in identity across all major industries
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28. Biometric Trends 2017 – Summary
• Enabling new models of service provision
• Great example is car sharing services based on autonomous vehicles
• Important to build a biometric authentication solution based on all of your
requirements and to ensure its meets both internal security policy and
external regulation
• Basing this on a scalable enterprise-grade platform with strong levels of
identity assurance and end-to-end security is critical
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