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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
7
In-App Bot
Detection
8
Bots Lie!
9
Bots Cheat!
10
Bots Steal!
11
Bots Steal!
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
14
PoC available today!
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
  • 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
  • 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