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  2. Computer-aided audit tools - Wikipedia

    en.wikipedia.org/wiki/Computer-aided_audit_tools

    CAATs provide auditors with tools that can identify unexpected or unexplained patterns in data that may indicate fraud. Whether the CAATs is simple or complex, data analysis provides many benefits in the prevention and detection of fraud. CAATs can assist the auditor in detecting fraud by performing and creating the following,

  3. Audit technology - Wikipedia

    en.wikipedia.org/wiki/Audit_technology

    Audit technology is a general term used for computer-aided audit techniques (CAATs) used by accounting firms to enhance an engagement. These techniques improve the efficiency and effectiveness of audit findings by allowing auditors to analyze much larger sets of data, sometimes using entire populations of data, rather than taking a sample.

  4. Data auditing - Wikipedia

    en.wikipedia.org/wiki/Data_auditing

    Data auditing can also refer to the audit of a system to determine its efficacy in performing its function. For instance, it can entail the evaluation of the information systems of the IT departments to determine whether they are effective in protecting the integrity of critical data. [ 2 ]

  5. Category:Data analysis software - Wikipedia

    en.wikipedia.org/wiki/Category:Data_analysis...

    Pages in category "Data analysis software" ... COMPLEAT (Bioinformatics tool) Computer-aided audit tools; Connect (computer system) Core Security Technologies;

  6. Galvanize (software company) - Wikipedia

    en.wikipedia.org/wiki/Galvanize_(software_company)

    The HighBond platform was designed for security, risk management, compliance, and audit professionals. In 2023, it was rebranded the Diligent One platform. Using an organization's data, these professionals use the platform to: manage threats; assess risk; measure controls; monitor compliance; expand assurance coverage.

  7. Argus – Audit Record Generation and Utilization System

    en.wikipedia.org/wiki/Argus_–_Audit_Record...

    The audit trail has traditionally been used as historical network traffic measurement data for network forensics [5] and Network Behavior Anomaly Detection (NBAD). [6] Argus has been used extensively in cybersecurity , end-to-end performance analysis, software-defined networking (SDN) research, [ 7 ] and recently a very large number of AI/ML ...

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