Mobile Connect & Messaging

Transcription

1 Mobile Connect & Messaging

2 Jorge Negrete Managing Director Mediatelecom

3 Guillaume Le Mener Head of Marketing & Corporate Development Mavenir Leonardo Hilario Planning & Project Manager Telefónica Hispanoamérica

4 Securing New Revenue from Messaging Fraud Prevention Telefonica & Mavenir Mobile 360 Latin America, Bogota, November 2017

5 Telefonica Leonardo Hilário Planning and Project Manager (Advertising) Mavenir Guillaume Le Mener Head of Marketing & Corporate Development 5

6 Securing New Revenue from Messaging Fraud Prevention AGENDA Why commercial A2P messaging is worth protecting & the impact of A2P messaging fraud Why fraud can be difficult to control & how machine-learning helps Telefonica s experience: The challenge, solution, results to date & future expectations 6

7 Mavenir Today 350+ Carriers 17 of top 20 TIER 1 CARRIERS GLOBALLY Our Customers Support 3+ BILLION Mobile Subscribers NGN Operating in 150+ COUNTRIES 37% Share of VoLTE / VoWiFi in the U.S. and Canada 10 BILLION Monetization Requests Annually 71% Share of VoLTE / VoWiFi in France, Germany, UK Leading VoWiFi / VoLTE, RCS and Messaging RCS Market Share Source: Based on GSMA, GSA, TeleGeography and Mavenir (July 2016) Number of launched Mobile operator networks ¹ LTM as of Q3 16. Industry s LEADING TECHNOLOGY World s First VoWiFi, VoLTE, RCS and vepc 75% Share of RCS in the U.S. and Canada >50% Share of global messaging 7

8 Commercial (A2P) use of mobile messaging is big business $64Bn Global revenues by 2020 (multiple sources) Millions Latin America Potential A2P Messaging Revenues 6,000 5,000 4,000 3,000 2,000 1, % CAGR Source: MobileSquared GLOBAL A2P MESSAGING FORECASTS (July 2016) 8

9 A2P Fraud Impacts Subscribers, Enterprises and Operators Poor user experience Ø Inability to interact with the application Ø Delivery failure Ø Variability in delivery QoS Reduced use of A2P messaging Reduced network service availability Ø Subscribers in cells congested by SIM Boxes Ø Roamers in networks connected via links congested by A2P messaging Ø Subscribers calling/messaging others in networks connected via congested links General Revenue Loss A2P Messaging Revenue Loss Losses from SMS fraud up to $6Billion annually Communications Fraud Control Association, 2016 Poor subscriber satisfaction Ø Poor A2P user experience Ø Service availability problems Ø Increased volumes of SPAM and malicious content enabled by low cost delivery Increased Churn 9

10 Operators in Latin America risk losing $billions 53.9% A2P revenue lost to grey route fraud in 2015 Source: MobileSquared GLOBAL A2P MESSAGING FORECASTS (July 2016) Millions 6,000 5,000 4,000 Latin America A2P Messaging Revenues $7.2Bn Cumulative revenues lost from 2017 to ,000 2,000 1,

11 Securing New Revenue from Messaging Fraud Prevention AGENDA Why commercial A2P messaging is worth protecting & the impact of A2P messaging fraud Why fraud can be difficult to control & how machine-learning helps Telefonica s experience: The challenge, solution, results to date & future expectations 11

12 Fraudsters ensure fraud is difficult to detect and control They rapidly adapt to overcome detection rules Hide their sources Vary the campaign profile Vary the content Monitor Results URL Shortening Text Variation Short bursts V6 Buy it now Order yours today Get yours now Buy some today Get it now Order some now Purchase one today... Random character sequences Homographic Variation Distributed sources Frequent changes Campaign Switching Your discount code is 4GY88X2 ɢěɴμɩnë ʀoιėx Canary accounts hidden amongst recipients 12

13 Automatic Machine Learning adapts faster than the fraudsters Determinable Rules >> New bypass techniques emerge Revenue Loss Continues Complex Ever-changing Rules >> New bypass techniques almost IMPOSSIBLE Revenue Loss Stopped - Quickly & Effectively Control Every Route ü Delay >> More traffic bypasses Manual Rule Definition Complex set of rules required Real-Time Analysis >> Stops Bypass FASTER Dynamic Complex Rule Evolution Complex Indeterminable Rules ü Manual + High-cost Manual Traffic Analysis Complex variations (sources and content) Automatic Real-time Machine Learning Rapid Evolution of Detection Rules ü Traditional Methods vs Mavenir SpamShield 13

14 Mavenir SpamShield Delivers World-Leading Results Telkomsel selects Mavenir s SpamShield for advanced SMS spam detection and filtering Up to 10x better detection Head-to-head against top 2 competitors Advanced message filtering detects up to eight times more spam related SMS messages than before to better protect customers from spam and fraud. SpamShield has reduced the effort and human intervention previously required to operate and manage the filtering, because there is no need to manually configure filtering rules SpamShield s ability to filter out grey route messaging enables us to sell SMS advertising via the appropriate channels Asep Y Septiana Telkomsel Vice President of IT VAS and Corporate Service Solution and Management 14

15 Securing New Revenue from Messaging Fraud Prevention AGENDA Why commercial A2P messaging is worth protecting & the impact of A2P messaging fraud Why fraud can be difficult to control & how machine-learning helps Telefonica s experience: The challenge, solution, results to date & future expectations 15

16 01 THE CHALLENGE Telefónica Hispanoamérica 16

17 The Challenge How to justify the investment? Mavenir had made audits in all our networks to identify types of frauds; A very small part of each country s CDR were analyzed to base the feasibility study; It had statistically estimated we were losing more than $18M per year to Grey Routes in the region Telefónica Hispanoamérica 17

18 The Challenge Statistic vs Reality P2P usage analysis Messages sent ,75% COUNTRY 1 COUNTRY 2 0,03% 0,20% 0,02% of users represents almost 70% of traffic 98,5% of the clients represent 44% of monthly SMS traffic! 38% of the traffic is generated by 0,07% of the users 50 Amount of Destination (User B) 99% of users behave like this: send a maximum of 150 messages to at most 50 different users Telefónica Hispanoamérica 18

19 02 Telefónica Hispanoamérica RESULTS 19

20 The Results Before and After the filters Telefónica Hispanoamérica On the first day we blocked 9 million messages and registered users on Blacklist Avg msg/user Messages Blocked BlackList ControlList

21 The Results Before and After the filters Before filters, the country had a deficit on interconnection costs. National Interconnection (Financial Balance) After, it started to have revenues! Balance on first month of usage: US$ 3M - Telefónica Hispanoamérica 21

22 The Results Before and After the filters But spammers are always seeking for new routes! International Traffic Telefónica Hispanoamérica 22

23 The Results Among the region Messages blocked between 5% and 10% of total traffic on first weeks. Stabilized on 2% till today (Total regional traffic around 2b monthly messages) Revenue CAGR of 20% on the first 3 months of the platform Using only basic filters. Starting to configure advanced filters on some countries on 4Q17. Telefónica Hispanoamérica 23

24 03 THE REAL CHALLENGE Telefónica Hispanoamérica 24

25 The Real Challenge Is the market prepared to control SPAM and FRAUD? The user knows how to identify a suspicious message? When a user identifies a suspicious message he/she knows who to call? Or call directly to his/her carrier? Or call the Regulation Agency? The government regulators penalize the carriers based on complaints about long number Spam? The government regulators understand the necessity of the message analysis and filters? The carriers are aligned between them? There are self-regulated independent associations in each country/region to control players? 25 Telefónica Hispanoamérica

26 Time for your questions?

27 THANK YOU

28 Inderpal Mumick CEO Kirusa

29 MOBILE CONNECT INDERPAL SINGH MUMICK NOVEMBER 2017 Kirusa confidential and proprietary.

30 reimagining voice in the data era Kirusa confidential and proprietary. October

31 CHANGING CONSUMER EXPECTATION Wi- Fi Hotspot s Proliferation of Data Sources. Enhanced connectivity, leading to user expectation of receiving messages and calls over data. SIM Cards Multi-SIM trend on the rise. Impractical to carry multiple devices Opportunity to provide a unique telephony experience. User can receive and send SMS and calls, as long as they have data, regardless of source. User can receive and send SMS and calls from multiple mobile numbers, as long as they have data, regardless of SIMs being present in the device. Kirusa confidential and proprietary. October

32 EMERGENCE OF OTT MESSAGING AND OTT VOICE CALLING Carrier SMS+ Voice Calling OTT Messaging OTT Voice Calling OTT Messaging + Voice Calling What s next? Telecom solutions like Voice & SMS, were gradually being replaced with OTT Messaging solutions like WhatsApp, and OTT Voice Calling solutions like Skype. This apparent split, further started converging, with OTT Messaging apps integrating voice calling, and OTT Voice calling solutions introducing chat feature. Kirusa confidential and proprietary. October

33 EMERGENCE OF OTT MESSAGING AND OTT VOICE CALLING Carrier SMS+ Voice Calling OTT Messaging OTT Voice Calling OTT Messaging + Voice Calling Hybrid OTT Messaging & Calling What is Hybrid OTT? App that can deliver services from the cloud over data, as well as over multiple carrier networks Delivered in partnership between an app developer and carrier networks Opportunity for carriers to offer seamless calling and messaging that provides the beautiful user experience of OTT apps, but also interconnects into their network functions to: Receive GSM calls and SMS to any of their mobile number(s) over data. Make outbound calls and send SMS over data, to any number, from any of their mobile number(s) Enabling a SIM-independent telecom experience Kirusa confidential and proprietary. October

34 EMERGING USECASES, MADE POSSIBLE BY VOICE/SMS OVER DATA Receive data from hotspots and tourist SIM. Get free incoming calls while traveling, with no roaming charges. No network, but waiting for an SMS OTP to arrive for bank authentication? Receive SMS in an App. Poor Network at home, strong Wifi? Receive GSM calls over Wi-Fi. Kirusa confidential and proprietary. October

35 EMERGING USECASES, MADE POSSIBLE BY VOICE/SMS OVER DATA A sim for office, a sim for freelance and another for friends? Answer calls to all numbers from just one app, in a single device. Reached office, but forgot phone at home? Get your calls on another device you have. Haven t activated roaming, but would like to receive SMS updates from Amazon on the shipped the order? Receive your subscriptions over data! Kirusa confidential and proprietary. October

36 INSTAVOICE REACHME : VOICE OVER DATA INNOVATION Lisa Jay Jay Jay GSM VoIP The carrier network finds Jay to be unreachable, ReachMe sends the call to the InstaVoice app. Lisa is trying to call Jay. Jay is travelling and has not activated roaming. While connected to data, Jay receives the call in the InstaVoice App. Kirusa confidential and proprietary. October

37 T-MOBILE DIGITS : VOICE OVER DATA INNOVATION DIGITS by T-Mobile enables users make calls and text from any internet connected devices, using their own number. Moreover, users can link up to 5 numbers and use them all from one device. Kirusa confidential and proprietary. October

38 SECURITY ISSUES Voice over data Solution s Proliferation of voice-over-data and sms-over-data solutions leads to security issues for vendors as well as users. SMS and OBD used for authentication. Kirusa confidential and proprietary. October

39 PROBLEMS OF IDENTITY THEFT SIM Cloning can help intercept SMS messages. Kirusa confidential and proprietary. October

40 PROBLEMS OF IDENTITY THEFT SIM Cloning can help intercept SMS messages. ANI can be faked quite easily when making calls. Kirusa confidential and proprietary. October

41 PROBLEMS OF IDENTITY THEFT SIM Cloning can help intercept SMS messages. ANI can be faked quite easily when making calls. What if a user has multiple numbers? Identity theft on the lesser used second number becomes more severe. Kirusa confidential and proprietary. October

42 MOBILE CONNECT - INTRODUCTION Mobile Connect is a secure universal login system, linked to a user s phone number powered by a growing network of mobile operators. Kirusa confidential and proprietary. October

43 MOBILE CONNECT - INTRODUCTION Mobile Connect is a secure universal login system, linked to a user s phone number powered by a growing network of mobile operators. The login request is verified against a user s mobile number by cross-checking with the mobile operator. Upon successful verification, the login request is approved by the Mobile Connect API. Kirusa confidential and proprietary. October

44 MOBILE CONNECT AUTHENTICATION FLOW Authentication Requested Mobile Number verification PIN Authentication Check Authentication Successful Kirusa confidential and proprietary. October

45 MOBILE CONNECT TECHINCAL FLOW Kirusa confidential and proprietary. October

46 MOBILE CONNECT TECHINCAL FLOW Carrier is directly involved in the authentication process. Additional info of subscriber (name, address, location) can also be matched with info available with the carrier. User can choose to authenticate with an app and a password (with encryption) this is less susceptible to SIM cloning. Mobile Connect needs to evolve to provide a secure solution. Kirusa confidential and proprietary. October

47 Thank you for your time. Questions? Kirusa confidential and proprietary.

48 Felipe Tibocha Regional Director, Latin America Juntos Global

49

50 Intervalo de Atención Attention Span El intervalo de atención es la cantidad de tiempo que una persona puede mantenerse concentrada en una sola tarea, sin distraerse.

51 El intervalo de atención del ser humano ha disminuido de 12 a 8 segundos en 15 años. *Fuentes: Attention Spans (Microsoft) StatisticBrain.com

52 Intervalo de atención del Pez dorado: 9 segundos El intervalo de atención del ser humano ha disminuido de 12 a 8 segundos en 15 años. *Fuentes: Attention Spans (Microsoft) StatisticBrain.com

53 Qué se puede comunicar en 8 segundos? 140 a 160 caracteres

54 Conversaciones de texto para desarrollar la relación entre entidades financieras y cada uno de sus usuarios

55 Tres características de las conversaciones de Juntos 1. Son proactivas y automatizada 2. Logran ser bidireccionales. 3. Tienen impacto en el comportamiento transaccional de los usuarios.

56 Juntos está presente en 12 países

57 Francisco Riveros Presales Engineering Expert Infobip

58 A2P SMS HOW TO ACHIEVE FULL MONETIZATION Francisco Riveros Fiallo GSMA, Bogotá, Colombia November

59 CONTENT A2P traffic and monetization Fraudulent traffic Regulation Network and user protection

60 NON PROTECTED NETWORK

61 NON PROTECTED NETWORK

62 CHALLENGES OF A2P TODAY Fraudulent activities and traffic flow Challenging detection Senders Expensive solutions Complex ecosystem Demanding QoS Market specifics

63 CHALLENGES OF MONETIZATION Traffic differentiation (International vs National source) Regulation Price Market and Mobile Operator specifics More..

64 A2P SMS- CONTROLLED AND PROTECTED NETWORK

65 A2P SMS- CONTROLLED AND PROTECTED NETWORK

66 A2P MESSAGING ECOSYSTEM AND MONETIZATION

67 QUESTIONS?