RedisDay London 2018

1. Redis & BioCatch
Catching The Bad Guys In Action With Redis
Dekel Shavit, VP of Operations & CISO, BioCatch

2. Who is
BioCatch?
• BioCatch is redefining digital identity and helping to restore trust in our
online interactions via behavioral biometrics. Our technology is used in 3
main ways

3. What is
Behavioral
Biometrics?
500 parameters
“you are what you repeatedly do”
Uses advanced data science to map a
user’s “Behavioral DNA” and build a unique
behavioral profile of the user
Provides continuous authentication during
an online session post login
Seamless and frictionless to the user; has
no impact on the user experience
Detects human and non-human cyber-
threats
Works across platforms - web and mobile
Built for privacy – totally anonymized, no PII
Analyzes human-device interactions to protect
users and data

4. Our
universe
• +70M online/mobile users
• +6 billion transactions per month
• Top tier financial institutions and
enterprises
• 60 patents, either granted or pending
• User data collection via JavaScript (web) or
SDK (mobile)
• API for customer to get info in real time &
multiple times within a session

5. Our Redis
Story
We grew fast, our v1 solution was not up to par with Biz or Scale needs, Redis came
in to play when we started the v2 design
• We wanted to decouple compute & state to make the system more elastic (in v1
the data was spread between VM’s, that was a pain point)
• Redis is the only component in the system that keeps a state, everything else is
stateless
Data is the king
• Data loss is no longer an option
• Single source of truth approach
• Do more, with more data, and do it fast = Data insight = Biz Value

6. What do
we use
Redis for ?
• To store behavioral data of user's active
session (sorted set) – L1 layer
• To store a subset of the user behavioral
profile (post init)
• Predefined fraudulent behavior profile (not
user specific)
• Geolocation data (sorted set)
• System Config DB
• Misc Data for research
• And much more to come……

7. Architecture
Overview

8. Some Redis
facts
• Running 3 clusters
• A total of 28 VM’s in Azure (Standard E64 v3 64 vcpus, 432 GB RAM)
• +140 Databases
• An Avg of +3TB of data in Redis
• 300M – 400M keys
• Peaking at +70K Ops / sec (40/60 R/W) per DB
• Avg Latency of 0.28ms
• 0 down time over two years !!!! (kinda….)
• 0 Operation effort by BioCatch people to manage and run !!!!!!!!!!!!!!!!

9. Our Next
Steps in Redis
• RoF – Big dataset, Small working set, (e.g. improved session
revived)
• Active-Active Geo-Distribution
• Improve support for multiregional clients
• Enhance support for cross region / geo fraudulent
behavior
• Spark / Redis – we are already heavy users of spark so….
• Testing some Redis enterprise modules and thinking on
creating some custom modules
• Redis Graph
• Redis as a Pub/Sub
• Redis streams
• And more….. (we just need to find some free time….)

10. So to
Summarize –
why Redis is
good for
Biocatch (in
memes)

11. Thank you!