Candor - Open Analytics

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    FROM THE BATTLEFIELD TO THE BOTTOM LINE:

    USING MULTI-NODAL NETWORK ANALYSIS TO

    DETECT FINANCIAL RISK

    Christopher Kenly

    Aveshka, Inc.

    Vice President

    Innovative Analytic Solutions

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    Bottom Line

    We can leverage thelessons learned from

    the governments

    change in the way itis doing business

    after 9/11 and apply

    them to managingfinancial risk.

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    Pre-9/11 Threats

    Pre-9/11, how did we think about national security threats?

    Regional Concerns

    Economic Interests

    Nation-States

    Narcotics

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    Post 9/11

    We are faced with looselyaffiliated groups united by

    ideology

    Not tied to nation-states

    Independently funded

    Operating globally

    Operating clandestinely

    Difficult to track/trace

    How do we view the new threat environment?

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    Post 9/11

    What has the battlefield looked like?

    No frontline; attacks

    throughout the country

    Limited visibility intoenemy organization &

    operations

    Evolving adversarytactics & techniques

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    Post 9/11

    How to deal with new threats?

    New government agencies and programs

    to facilitate information sharing

    New efforts to collect and share critical

    infrastructure information and exploitopen-source data sets

    Enhanced analytical techniques

    throughout government

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    Post 9/11

    How to deal with new threats?

    Multi-nodal network analysis toprovide a 360 view of threat

    network

    Identifies previously unknown

    linkages using Dark Network Theory

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    Analytics in Action

    New tools to identify and analyze threat streams, financial networks,

    and communications and conduct targeting and travel screening

    New technologies and techniques that allow an analyst to query datafrom multiple databases rapidly and comprehensively to provide

    information awareness and reveal hidden relationships

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    Threat Environment

    Systemic Risk MoneyLaundering

    Rogue Trading

    Insider Trading

    Leaks or Loss of

    IP

    Accounting

    Fraud

    Pump-&-DumpSchemes

    Identity Theft

    How did we think about financial threats?

    Ponzi Schemes

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    Financial Battlefield

    What does the financial battlefield look like?

    Globalization of risk

    Company brands at risk

    Millions of transactions

    Non-transactional data

    Social media sources

    Proprietary data sources

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    How does it currently work?

    Without analytics, researching and planning for the mitigation of risk is

    a cumbersome and intricate task.

    FinancialRisk andExposure

    Unknown exposure torisks results

    misinformed decisionmaking

    Sifting through massivedata sets, located indisparate databases,

    and existing in variousformats

    Traditional mitigationbased on transactionalanalysis often fails to

    identify hiddenrelationships and

    latent risks

    Analytical accuracy andspeed can vary across

    organizationaldivisions, experience

    levels, and subject

    domains

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    Lessons Learned

    Use multi-nodal network analysis and data analytics to help mitigate risk

    Multi-nodal network analysis

    Identify conflicts of interest

    Identify derogatory information (e.g., bankruptcies)

    Map social media relationships

    Determine front companies

    Identify operational tactics

    Data analytics

    Connect the dots

    Identify linkages quickly

    What lessons can we take from the battlefield and apply to

    financial risks?

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    Analytics in Action

    Fraud

    Detection

    Anti-Money

    Laundering

    Intelligence

    Collection &

    Analysis

    Competitive

    Intelligence

    Transaction

    Monitoring

    Risk

    AssessmentDue Diligence

    Brand &

    Reputation

    Management

    How can analytics transform the financial industry?

    If used correctly, it can truly be a game changer.

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    Benefits of Analytically Enabled Multi-Nodal Network Analysis

    Seamless Single intuitive interface enables access to vast quantitiesof data from disparate sources

    Flexible Cloud-based scalable architecture enables tailored inputsand outputs analysis and reporting on your terms

    Cost-effective Independent of your infrastructure so that it can beaccessed anywhere with lower total lifecycle costs

    PowerfulCustomizable visualization tools highlight hidden

    relationships and new avenues of inquiry

    EfficientAutomated data collection and prioritization of results

    shrink the analytic timeline

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    QUESTIONS?

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    Points of Contact

    SCOTT SCHNEIDERMAN

    o | 571.814.5737m | 917.209.8829

    e | [email protected]

    PRINCIPALInnovative Analytic Solutions

    ADAM KILLIAN

    o | 571.814.5729

    m | 571.243.4388

    e | [email protected]

    PRINCIPAL

    Innovative Analytic Solutions

    CHRIS KENLY

    o | 571.814.5702

    m | 609.372.5120

    e | [email protected]

    VICE PRESIDENT

    Innovative Analytic Solutions

    KELLI COOPER

    o | 571.814.5745m | 706.564.2411

    e | [email protected]

    ANALYSTInnovative Analytic Solutions