CSI overview presentation covering our visual data analytics and link analysis solutions.

1. CENTRIFUGE SYSTEMS
OVERVIEW
Copyright 2012 Centrifuge Systems, Inc. All Rights reserved. 1
See Clearly Now
A Powerful, Flexible Lens for Data Discovery

2. Centrifuge Corporate Overview
 Visual data analysis pioneer since 2007
 Genesis in US National Intelligence Sector
 Funded by Novak Biddle Venture Partners
 Used by thousands of analysts in both public
sector and commercial organizations
 Headquartered in McLean, VA
Copyright 2012 Centrifuge Systems, Inc. All Rights reserved. 2

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 Social Network Analysis (SNA)
 Sentiment Analysis
 Claims Fraud
 Telephony / Text Messaging
 Gang Activity
 Evidence Discovery Analysis
 Financial Money Laundering
 Serial Crimes
 Cyber & Computer Network Analysis
Analyzing large volumes of diverse data
Targets trying to avoid detection

4. Copyright 2012 Centrifuge Systems, Inc. All Rights reserved.
Commercial Examples
Problem: Criminal networks arrange procurement of medication through
low-cost government contracts, then sell on open market for high profit.
Problem: Sophisticated fraud rings of patients, providers and pharmacies
conspire to circumvent law . Difficult to detect with via traditional analytics.
Drug Profiteering
Prescription Fraud
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BIG “Pharma”
Healthcare

5. Copyright 2012 Centrifuge Systems, Inc. All Rights reserved.
Third Party Recognition
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Honored as a 2012 FinTech Innovation Lab participant
for Wall Street-focused startup companies
Recently chosen by Gartner as a 2013
“Cool Vendor” for Security Intelligence

6. Centrifuge Systems
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 Data Remains at the Source
• No need for redundant storage silos or client-side resources
 Client Access via Lightweight Browser
• Browser-based clients promotes both collaboration and security
 Easy and Secure Collaboration
• Collaboration performed at server
• Data does not transfer ownership during analysis
 Modern Server-based Java Architecture
• No feature lock-in, Interact with other best-in-class applications
• Highly scalable with no client-side resource requirements

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No Data Preprocessing or Redundant Data Storage
• Avoid the time & cost of preprocessing / prepositioning target data sets and
the resulting storage management overhead (hardware, security, backup, etc.)
• Data remains on its original server and native format allowing quick access
to newly discovered or updated data;
• Templates can created and saved for ease of future analysis.

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 Client Access through Lightweight Browser
• Browser-based clients can connect from anywhere, promote
ad hoc collaboration
• Client issues eliminated, extreme server scalability
• (RAM, storage, conflicts, etc.)
• No data touches the client, greatly reducing privacy concerns

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 Collaboration constraints removed
• Collaboration occurs on a secure server, NO data touches a client
• Data is not in jeopardy if client is “compromised”
• Collaborators can share data without transfer of ownership, greatly reducing
security and privacy concerns
• Two ways to share
• Static PDF image
• Fully functional Centrifuge Dataview, each collaborator can contribute
Static, or Live
and Interactive

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 Leverage other best-in-class capabilities via standards-based
Java/JavaScript and REST APIs, plus the included Solution Factory
• Early adopter of Ozone Widget Framework (OWF)
• Our focus is visual data analytics, not user lock-in
• We readily interface with best-in-class partners as determined by your needs
Unstructured data
Entity extraction
Fuzzy matching
Web harvesting
Geo-tagging
Statistical Algorithms
NLP
Embedded

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VISUAL DATA ANALYTICS
See Clearly Now May 6, 2013
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A Powerful Lens for Data Discovery

12. Noise
Signal
Separate the Signal from the Noise

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Scenario: Health care insurance provider looking for prescription fraud
Dataset: Claims data relating drug, pharmacy, prescribing doctor and consumer
Initial Graph Using Opacity
Using Size
Applying iterative
filtering

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Highlight Paths and Degrees of Separation
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Scenario: Cyber Security – investigating network traffic and identifying potential threats
Dataset: NetFlow data with originating and destination IP addresses and users/orgs
1. Identify all paths
Visually highlight all paths that connect subjects of interest
2. Identify & isolate path of
interest
3. Iteratively explore suspicious elements
1. Start with suspects 2. Reveal nodes associated
with suspect organizations
3. Reveal where traffic is
being directed
4. Reveal users associated
with suspect traffic (targets)

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Choose Link Layouts & Placement
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Force-Directed
Radial
Circular
Algorithmic layouts allow placement of nodes to be based on different criteria allowing
natural patterns to emerge
Hierarchical

16. Graphically Select or Filter
Select and filter from one visual to another
Narrow results, highlight subsets

17. Query Build Out
As “link-ups” are run, the new “associates” are brought into the picture – building out
our relationship graph based on added connections. “Link ups” can be added for as
many associates as desired.

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Contact us for more information
Russ Holmes
Centrifuge Systems, Inc.
7926 Jones Branch Dr., Suite 210
McLean, VA 22102
(571) 830-1300
www.centrifugesystems.com