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AC4 - Processing Integrity and Validity

This topic is intended to enable collaboration and sharing of information to facilitate a better understanding and approach to implementing this COBIT control objective based on the risk, value and guidance provided by its corresponding control practices.

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Processing Integrity and Validity

Maintain the integrity and validity of data throughout the processing cycle. Ensure that detection of erroneous transactions does not disrupt processing of valid transactions.

View value and Risk Drivers  help

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Value Drivers

  • Processing errors detected in a timely manner
  • Ability to investigate problems
  Risk Drivers
  • Insufficient evidence of errors or misuse
  • Data entry errors undetected
  • Unauthorised data processing

View Control Practices  help

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  1. Establish and implement mechanisms to authorise the initiation of transaction processing and to enforce that only appropriate and authorised applications and tools are used.
  2. Routinely verify that processing is completely and accurately performed with automated controls, where appropriate. Controls may include checking for sequence and duplication errors, transaction/record counts, referential integrity checks, control and hash totals, range checks, and buffer overflow.
  3. Ensure that transactions failing validation routines are reported and posted to a suspense file. Where a file contains valid and invalid transactions, ensure that the processing of valid transactions is not delayed and that all errors are reported in a timely fashion. Ensure that information on processing failures is kept to allow for root cause analysis and help adjust procedures and automated controls, to ensure early detection or to prevent errors.
  4. Ensure that transactions failing validation routines are subject to appropriate follow-up until errors are remediated or the transaction is cancelled.
  5. Ensure that the correct sequence of jobs has been documented and communicated to IT operations. Job output should include sufficient information regarding subsequent jobs to ensure that data are not inappropriately added, changed or lost during processing.
  6. Verify the unique and sequential identifier to every transaction (e.g., index, date and time).
  7. Maintain the audit trail of transactions processed. Include date and time of input and user identification for each online or batch transaction. For sensitive data, the listing should contain before and after images and should be checked by the business owner for accuracy and authorisation of changes made.
  8. Maintain the integrity of data during unexpected interruptions in data processing with system and database utilities. Ensure that controls are in place to confirm data integrity after processing failures or after use of system or database utilities to resolve operational problems. Any changes made should be reported and approved by the business owner before they are processed.
  9. Ensure that adjustments, overrides and high-value transactions are reviewed promptly in detail for appropriateness by a supervisor who does not perform data entry.
  10. Reconcile file totals. For example, a parallel control file that records transaction counts or monetary value as data should be processed and then compared to master file data once transactions are posted. Identify, report and act upon out-of-balance conditions.

 

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7 May 2012
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Orlando, Florida, USA
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ISACA Training is a unique educational event designed to provide the tools you need to maintain, update and upgrade your skills, and to continue your professional development.
11 Sep 2012
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San Francisco, California, USA
ISACA Training is a unique educational event designed to provide the tools you need to maintain, update and upgrade your skills, and to continue your professional development.

Journal Articles: 577 total

Volume 2, 2019
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Quality evidence collected during the audit process enhances the overall quality of the work performed and significantly reduces audit risk.
Volume 3, 2012
by Kai-Uwe Ruhse, CISA, PCI QSA, and Maria Baturova
This article describes real cloud computing project case studies, which show that moving to the cloud is an important strategic decision for IT managers.
Volume 3, 2012
by Tommie W. Singleton, Ph.D., CISA, CGEIT, CITP, CPA
This two-part article describes one framework for performing effective audits of applications.
Volume 3, 2012
by Steve Markey
Once thought of as a technology solely for academia, non-RDBMS are now reaching critical mass in industry.
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by Brian Vazzana, CISA, CITP, CPA
SOC reports examine the controls present at the service organizations and consider how those controls are designed and operate.

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