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ABOUT DATADOME
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Classroom Contents
Temporal - Bot or Human? Detecting Malicious Bots with Machine Learning in 2021
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- 1 ABOUT DATADOME
- 2 AUTOMATED THREATS
- 3 AGENDA
- 4 BOTS & HACKERS TARGET THE WEAKEST LINK
- 5 PERFECT BROWSERS/APPS
- 6 REAL DEVICES
- 7 SINGLE-REQUEST ATTACKS
- 8 1/3 OF BAD BOTS USE RESIDENTIAL PROXIES
- 9 HOW DO THEY ACCESS CLEAN PROXIES?
- 10 HUMANS TO THE RESCUE
- 11 BOT SAAS SERVICES ARE NOT NEW
- 12 LUMINATI BECAME BRIGHT DATA
- 13 THE DATADOME BOT DETECTION ENGINE
- 14 DATADOME R&D REPORT
- 15 DETECT BROWSER AUTOMATION
- 16 STACKED MODEL PREDICTION
- 17 HOW TO APPLY ML FOR BOT DETECTION
- 18 SOLUTION
- 19 ONGOING ATTACK DETECTION
- 20 AVAILABLE DATA
- 21 INFERRING MALICIOUS FINGERPRINTS
- 22 BLOCKING PATTERN GENERATION (2)
- 23 SAFE BLOCKING PATTERNS
- 24 RESULTS: 28K MALICIOUS LOGIN ATTEM BLOCKED
- 25 KEY TAKEAWAYS
