Centrifuge Systems Overview

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



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

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BIG “Pharma”

Healthcare


Third Party Recognition

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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


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


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.


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


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


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


VISUAL DATA ANALYTICS

See Clearly Now May 6, 2013

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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

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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)

Copyright 2012 Centrifuge Systems Inc

Choose Link Layouts & Placement

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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.


Contact us for more information

Russ HolmesCentrifuge Systems, Inc.

7926 Jones Branch Dr., Suite 210McLean, VA 22102

(571) 830-1300

www.centrifugesystems.com

http://www.centrifugesystems.com/

Technology

Centrifuge Systems Overview