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Compliance

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Continuous Auditing & Reporting Compliance & Fraud Monitoring The power to know now Data2knowledge Inc. Case study, Banking Sector Tenth Continuous Auditing and ... – PowerPoint PPT presentation

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Title: Compliance


1
Continuous Auditing Reporting
  • Compliance Fraud Monitoring
  • The power to know now
  • Data2knowledge Inc.
  • Case study, Banking Sector
  • Tenth Continuous Auditing and Reporting Symposium
  • Rutgers University, NJ November 2005
  • Andrew Gonczi,
  • CEO Data2knowledge, Inc. www.d2k.com

2
Presentation Outline
  1. About Data2Knowledge
  2. Continuous Monitoring Needs
  3. Case study, Banking Sector
  4. D2K Secure, Continuous Monitoring System

3
About Data2Knowledge
  • Corporate Overview
  • Established in 1999, offices in NJ, UK and
    Hungary
  • Specialized in ETL, data structuring and
    continuous monitoring
  • Blue chip corporate clients in US and Europe
  • D2K Distil
  • Key financial data found and extracted more
    accurately, faster and for a fraction of the cost
     
  • D2K Secure
  • Continuous Fraud and Compliance Monitoring  
  • D2K Development
  • Offshore (Hungary) development and service team
    Cost effective, innovative, world class quality.
  • D2K's core extraction engine is also available to
    be embedded in custom applications and as a SDK
    to partners.

4
Continuous Monitoring Needs
  • Why is continuous monitoring becoming a must now?
  • Advances in technology and increased business
    dynamics enable businesses to change ever more
    rapidly,
  • Traditional audits and controls are no longer
    adequate
  • Key drivers
  • Past few years events (9/11, malfeasance crisis,
    complex and creative business models)
  • Subsequent regulations (HIPAA, SOX, Patriot Act,
    etc.)
  • Business needs, competitive development of
    controls to be matched
  • Benefits
  • Immediate notification to management of problems,
    timely correction
  • Fraud reduction and improved risk management
  • Extensibility across multiple IT systems
  • Independence from operative management

5
Fraud prevention Compliance needs
  • Key Drivers
  • Laws and Regulations
  • Direct PL impact to prevent losses from fraud
  • Indirect PL impact business reputation, client
    retention and acquisition
  • Continuous Monitoring Requirements
  • To detect fraudulent, unauthorized or money
    laundering activities, operational systems need
    to be monitored on an ongoing basis
  • All systems produce activity/transaction logs,
    but differing formats
  • Centralized Monitoring Dashboard gives clear view
    across all business transaction and IT systems
  • The Audit Trail Imperative
  • Details of finest granularity needed at all times
    in near real time
  • Drill-down analysis required
  • Data Source Quality, Data Level Assurance
  • Proof for Internal and Public proceedings
  • Transaction level intervention

6
Case Study Banking Sector
Background
  • Customer
  • Large subsidiary of a major European bank
  • Market cap. 20Bn
  • Employees 50k
  • Business objectives
  • Meet regulatory compliance requirements
  • Reduce fraud losses, especially internal attacks
  • Continuous and pre-emptive controls
  • Expand scope across all business and IT systems
  • Reduce costs compared to highly manual prior
    processes

7
Case Study Banking Sector
  • Technical challenges and requirements
  • Growth through acquisitions ? wide variety of
    disparate IT systems
  • Data consolidation became a major challenge
    multi-terabytes of historical and real time data
    such as transaction logs, document files,
    spreadsheets and financial reports stored on
    Oracle databases.
  • security administers were finding it impossible
    to monitor these vast reservoirs of data in order
    to detect suspect usage patterns and identify
    possible fraud before it was too late.
  • Non intrusive solution needed to coexist with
    other IT systems
  • Independence from other processes to ensure
    impartial oversight
  • Events of interest are hidden across several
    system logs and multiple log entries
  • Identification of suspicious behavior requires
    establishing profiles and patterns (ex. multiple
    account of the same person)

8
Case Study Banking Sector
  • Proactively combating fraud reducing compliance
    costs
  • D2K Secure reviews 5-8 Gb per day of data in
    order to spot suspicious activity before it
    becomes a problem.
  • With automatic querying and real time alerts, the
    bank can now be truly proactive in the fight
    against fraud.
  • D2K Secure saves costs every day What previously
    would take 10 - 15 man days to piece together now
    takes 2 hours to run automatically.

9
D2K Secure Continuous Monitoring
  • System Summary
  • D2K Secure is a flexible and scalable system
    designed to transform the contents of an
    unlimited number of audit log files into a single
    structured database.
  • Security analysts are provided with relevant
    information with links back to the original audit
    trail sources.
  • With appropriate reporting modules, the system is
    capable of generating automatic real time alerts
    if certain usage patterns are recognized in the
    logs.

10
D2K Secure, key features
  • Modular architecture allows integration with
    other analytical applications
  • Combines several complementary methods to provide
    near 100 matches
  • Data may be retrieved from any kind of structured
    or semi structured source, including but not
    limited to web pages, entire web sites, document
    files, text based log files, any type of
    relational databases and EDI systems.
  • The system can monitor multiple data sources and
    generate digests or reports from collated
    real-time or buffered information, based on the
    requirements of the application.
  • The massively parallel architecture allows
    simultaneous processing of individual information
    units, enabling real time processing of virtually
    unlimited amounts of data with suitable hardware
    support.

11
Monitored events summary table
D2K Secure

12
Monitored Events AML
  • 2 years expired between the current and last
    transaction and the minimum amount is 8k EUR
  • High amount transactions in a week
  • E-bank transactions above 8k EUR
  • Card transactions above 8k EUR in 2 hours
  • Data browsing with no transaction
  • Data browsing within 3 days without transaction
  • Transaction cancellation above 8k EUR
  • Transactions of the same customer at the same
    administrator
  • Incoming amount over 400 EUR from other bank to
    worker account
  • Incoming gt8k EUR to an account opened with lt400
    EUR
  • Inquiry last 6 months without transaction
  • FATF country transactions

13
Monitored Events Dormant Accounts
  • Data browsing of dormant account w/ debit
    transaction last month
  • No host branch
  • Multiple debits in 2 hours, 1 months
  • Same supervisor access of multiple dormant
    accounts
  • Card initiated requests
  • Outgoing transfers
  • Trading in own account with government securities

14
Ad-hoc vs. Continuous Monitoring
Monitoring Ad-hoc Continuous
Setup time / less more
Detection After the fact Preventive
Learning/ profiling Limited technology support Captured by CMS config.
Latency Was 30 days lt1 day
Scaling Procedures collapsed w/ growth 8Gb / day works fine
Operation costs Proportional to data growth query frequency Not able to scale cost effectively Minimal after initial setup
Data structure changes Breaked time series analysis consistency Allows consistent time series analysis across multiple point of changes
15
Thank you for your attention
Andrew Gonczi Andrew.Gonczi_at_d2k.com
646-479-4496 Data2knowledge, Inc.
www.d2k.com
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