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CENTRIFUGE SYSTEMS
OVERVIEW
Copyright 2012 Centrifuge Systems, Inc. All Rights reserved. 1
See Clearly NowA Powerful, Flexible Lens for Data Discovery
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
Copyright 2012 Centrifuge Systems, Inc. All Rights reserved. 3
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
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
4
BIG “Pharma”
Healthcare
Copyright 2012 Centrifuge Systems, Inc. All Rights reserved.
Third Party Recognition
5
Honored as a 2012 FinTech Innovation Lab participantfor Wall Street-focused startup companies
Recently chosen by Gartner as a 2013 “Cool Vendor” for Security Intelligence
Centrifuge Systems
Copyright 2012 Centrifuge Systems, Inc. All Rights reserved. 6
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
Copyright 2012 Centrifuge Systems, Inc. All Rights reserved. 7
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.
Copyright 2012 Centrifuge Systems, Inc. All Rights reserved. 8
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
Copyright 2012 Centrifuge Systems, Inc. All Rights reserved. 9
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 Liveand Interactive
Copyright 2012 Centrifuge Systems, Inc. All Rights reserved. 10
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
Copyright 2012 Centrifuge Systems, Inc. All Rights reserved.
VISUAL DATA ANALYTICS
See Clearly Now May 6, 2013
11
A Powerful Lens for Data Discovery
NoiseSignal
Separate the Signal from the Noise
Copyright 2012 Centrifuge Systems Inc 13
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
Copyright 2012 Centrifuge Systems Inc
Highlight Paths and Degrees of Separation
14
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)
Copyright 2012 Centrifuge Systems Inc
Choose Link Layouts & Placement
15
Force-DirectedRadial
Circular
Algorithmic layouts allow placement of nodes to be based on different criteria allowing natural patterns to emerge
Hierarchical
Graphically Select or Filter
Select and filter from one visual to anotherNarrow results, highlight subsets
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.
Copyright 2012 Centrifuge Systems, Inc. All Rights reserved. 18
Contact us for more information
Russ HolmesCentrifuge Systems, Inc.
7926 Jones Branch Dr., Suite 210McLean, VA 22102
(571) 830-1300
www.centrifugesystems.com
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