Protecting your app from bots

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"Protecting your app from bots” - Michael Paxman, Product Communications Lead at Adjust. Michael on the expo stage at OMR 2019 sharing insight into protection from bot fraud.

Technology

BERLIN • NEW YORK • SAN FRANCISCO • SÃO PAULO • PARIS • LONDON • MOSCOW • ISTANBUL  
SEOUL • SHANGHAI • BEIJING • TOKYO • MUMBAI • SINGAPORE • TEL AVIV
Protecting Your App  
From Bots

2
Mobile advertising, meet cybersecurity & AI
Adjust acquires Unbotify

3
Who are Unbotify?
Founded 05/2015  
 
 
25 Employees 
 
 
Patent pending:
Context Aware  
& Replay Attacks 
 
 
HQ Tel-Aviv
Unbotify’s History Accolades
Differentiate between
humans and bots, 
to protect customers’
mobile apps from
abuse and fraud
Mission Statement

4
ML based behavioral analysis
How does it work?
 
Collect Human Interaction  
 
 
 
Extract ML Features 
 
 
 
Anomaly Detection

5
‣ Touch Trace over x/y coordinates
‣ Touch Surface Area is dot size
‣ Touch Pressure is colour coded
Touch example:

6
A Much Bigger Problem
2In-App Bot
Detection
Adfraud Issue1

12
In other words…
Ad Spend 
Wasted
Poor 
UX
Security 
Risks
Skewed 
Analytics
Poor 
UX

13
How does Unbotify ﬁght this?
2
Context Aware
‣ Custom User-Flow
Protection
Patent Pending
4
Device Metadata
‣ Emulation detection
‣ SDK Spooﬁng
‣ API Highjacking
3
Behavioral Biometrics
‣ Works from day 1
‣ Generic human-device interaction
based anomaly detection
‣ Cumulative insights from all Unbotify
datasets
Replay Attacks
‣ Recorded User + Stochastic
Noise will be detected
Patent Pending
1

New York
Paris
São Paulo
San Francisco
London Berlin
Istanbul
Moscow
Mumbai
Beijing
Seoul
Tokyo
Shanghai
Singapore
Tel Aviv
Michael Paxman
PRODUCT COMMUNICATIONS LEAD 
michael@adjust.com
ADJUST HQ 
Saarbrücker Str. 37a 
10405 Berlin 
Germany

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Protecting your app from bots

1. BERLIN • NEW YORK • SAN FRANCISCO • SÃO PAULO • PARIS • LONDON • MOSCOW • ISTANBUL   SEOUL • SHANGHAI • BEIJING • TOKYO • MUMBAI • SINGAPORE • TEL AVIV Protecting Your App   From Bots

2. 2 Mobile advertising, meet cybersecurity & AI Adjust acquires Unbotify

3. 3 Who are Unbotify? Founded 05/2015       25 Employees      Patent pending: Context Aware   & Replay Attacks      HQ Tel-Aviv Unbotify’s History Accolades Differentiate between humans and bots,  to protect customers’ mobile apps from abuse and fraud Mission Statement

4. 4 ML based behavioral analysis How does it work?   Collect Human Interaction         Extract ML Features        Anomaly Detection

5. 5 ‣ Touch Trace over x/y coordinates ‣ Touch Surface Area is dot size ‣ Touch Pressure is colour coded Touch example:

6. 6 A Much Bigger Problem 2In-App Bot Detection Adfraud Issue1

7. 7 In-App Bot Detection

12. 12 In other words… Ad Spend  Wasted Poor  UX Security  Risks Skewed  Analytics Poor  UX

13. 13 How does Unbotify ﬁght this? 2 Context Aware ‣ Custom User-Flow Protection Patent Pending 4 Device Metadata ‣ Emulation detection ‣ SDK Spooﬁng ‣ API Highjacking 3 Behavioral Biometrics ‣ Works from day 1 ‣ Generic human-device interaction based anomaly detection ‣ Cumulative insights from all Unbotify datasets Replay Attacks ‣ Recorded User + Stochastic Noise will be detected Patent Pending 1

14. 14 PoC available today!

15. New York Paris São Paulo San Francisco London Berlin Istanbul Moscow Mumbai Beijing Seoul Tokyo Shanghai Singapore Tel Aviv Michael Paxman PRODUCT COMMUNICATIONS LEAD  michael@adjust.com ADJUST HQ  Saarbrücker Str. 37a  10405 Berlin  Germany

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