DataStax customer, ProtectWise, a leading enterprise security provider, is revolutionizing how network security is managed by using innovative technologies such as machine learning, gaming, and virtual reality powered by an always-on data platform from DataStax to effectively detect fraud and combat network attacks. Hear from ProtectWise Co-Founder & CTO, Gene Stevens, and learn how ProtectWise uses next-gen technologies, including the advanced data management solution from DataStax, to protect customer data. View recording: https://youtu.be/E1I8sje9GfE Explore all DataStax webinars: http://www.datastax.com/resources/webinars

1. ProtectWise enhances network security with
DataStax always-on data platform
© 2017 DataStax, All Rights Reserved. Company Confidential
Gene Stevens, Co-founder & CTO, ProtectWise
Kartavya Jain, Product Marketing Manager, DataStax
July 13, 2017

2. Agenda
● Cloud Applications
● DataStax – “The Power Behind the Moment”
● ProtectWise Case Study – Enhancing network security
● Q&A
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3. From validation to momentum
400+
Employees
$190M
Funding
500+
Customers
Founded in April 2010
Santa Clara • San Francisco • Austin •
London • Paris • Berlin • Tokyo • Sydney
(Series E – Sept. 2014) 30% +
2016 World’s Best
100 Cloud Companies
Ranked #1 in multiple operational
database categories
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4. Let’s take
a moment
Your business interacts with people,
processes and things all the time
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5. You have billions of these moments every day.
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6. And every moment counts…in a rapidly
evolving world.
Each new innovation accelerates expectations
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7. CONTEXTUAL
These cloud applications
must meet expectations.
ALWAYS-ON DISTRIBUTED SCALABLEREAL-TIME
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8. DataStax provides data management
for cloud applications.
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9. Powering cloud applications
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EFFORTLESS
SCALE
• Take advantage of every opportunity.
• Focus on what matters most to you.
ALWAYS-ON
• Designed to handle any failure,
no matter how catastrophic.
INSTANT INSIGHT
• Built into your application to create
actionable, modern experiences.

10. DataStax’s evolution in context
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We solve the “right-now” for customers

11. Case Study: ProtectWise
© 2017 DataStax, All Rights Reserved. Company Confidential

12. THE CURRENT MODEL IS CHALLENGED
Advanced Attacks
Complex threats execute over
long periods of time.
Point Product Chaos
Point products overwhelm the
human ability to process.
Resource Shortage
Not enough humans to
manage a response, let alone
hunt for threats.
Average enterprise breach
detection window is over 200 days
On prem and siloed point products
weigh down security architecture
Less than 10% of an analyst’s
time is spent in proactive analysis

13. THE PROTECTWISE GRID
1
3
A new utility model for enterprise security,
delivering pervasive visibility, automated threat
detection and unlimited forensic exploration —
on-demand and entirely from the cloud.
“Never, in 52 years in this field, have I seen a
collection of dashboards that even comes close to
the collection you'll see in ProtectWise.”
Peter Stephenson, Editor at Large SC Magazine

14. 1
4
Network Traffic
Behavioral Analysis
Machine Learning
Heuristics
Signatures
24 hours
1 month
6 month
1 year
RETROSPECTIV
E
ANALYTICS
+6 months
+1 month
+24 hours
PREDICTIVE
ANALYSIS
REAL TIME ANALYTICS
C1 C2 C3
COLLECTIVE CORRELATION
A TIME MACHINE FOR THREAT DETECTION

15. 1
5
PROTECTWISE AND DATASTAX

16. 1
6
WHY DATASTAX
●Needed Cassandra and Search combined
●Large distributed systems are hard
●Synchronizing them is crazy hard
●Access to support was crucial
●Time to market was imperative
●They are good people

17. COVERAGE MODEL
What’s missing from big data is data

18. BIG DATA
- Log Files
- Metadata
- Threat Intelligence
- Context
…all of these are not
enough

19. 1
9
EPIC DATA
IoT
Industrial
Controls
Virtual
Environment
s
Firewalls
Log Files
Threat Intel
PCAP
Metadata
Endpoint

20. Intelligent data reasoning based on first principles
DATA ANALYSIS

21. SECURITY FROM FIRST PRINCIPLES
Comprehensive Contextual Correlated
Full packet capture across
traditional, virtual (cloud),
industrial control, IoT
Cross-reference of
multiple indicators
included in analysis
Numerous classifiers and
statistical analysis
modeled to form a
consensus of experts
Consensus
Pattern recognition to
detect security events
from a plethora of
observations

22. Security at scale
THE UTILITY OF THE CLOUD

23. Security should be …
● A fundamentally basic service
● Continuous and unbroken
● Provided like other basic utilities
(e.g. electricity and water)
● An operations expense
● Deeply automated
● Accessed via a myriad of surfaces
A technology truly matures when it disappears
and becomes beautiful
A Utility

24. 24
To fundamentally change human experience in
security

25. © 2017 DataStax, All Rights Reserved. Company Confidential
Q&A
Gene Stevens
gene@protectwise.com
@genestevens & @ProtectWise
Kartavya Jain
kartavya.jain@datastax.com
@kartavyajain

26. Thank you
© 2017 DataStax, All Rights Reserved. Company Confidential