TrustSis and the Power of ARTIFICIAL INTELLIGENCE in Managing SoD Risks
Managing segregation of duties (SoD) risks is crucial to ensuring the integrity and security of corporate operations. Compensating controls play a vital role in this process. However, they are often challenging to define, especially when risk owners lack technical expertise. In this context, ARTIFICIAL INTELLIGENCE emerges as an innovative solution, providing technical support and speeding up the process of defining compensating controls.
TrustSis recognized the potential of ARTIFICIAL INTELLIGENCE in defining compensating controls and incorporated ChatGPT into its exclusive tool, the GRC Design Studio (GDS), to accelerate projects related to the review of SoD Risk matrices and the definition of Compensating Controls.
With the integration of ChatGPT in the GRC Design Studio (GDS), TrustSis achieved the following:
- Accelerated Risk Matrix Review Projects: ARTIFICIAL INTELLIGENCE enabled a faster and more accurate review of the risk matrix, resulting in better compensating controls.
- Precise Control Definition:: The support from ChatGPT ensured that controls were defined with greater precision and aligned with the specific needs of each client.
- Client Benefits with Speed and Accuracy: TrustSis clients who adopted this ARTIFICIAL INTELLIGENCE-based approach benefited from faster and more effective projects, ensuring greater security and compliance in their operations.
Image 1: Example of the GRC Design Studio (GDS) interface – [Assisted Method] – SAAS Platform
Addressing Segregation of Duties Risks in SAP S/4HANA and SAP ECC with Compensating Controls Powered by ARTIFICIAL INTELLIGENCE
A common example of segregation of duties (SoD) risk in the SAP S/4HANA and SAP ECC environment is the combination of access to “Create Vendor” and “Process Payment.” When a single user has permission to create a vendor and execute payments, there is a potential conflict of interest that could enable fraud.
With the help of ARTIFICIAL INTELLIGENCE, the GRC Design Studio (GDS) tool by TrustSis can identify and propose an appropriate compensating control to mitigate SoD risks, taking into account the specificities of SAP S/4HANA and SAP ECC systems, such as specific transactions, reports, tables, fields, and more. This allows for the compensating control to be refined with enough detail, enhancing its effectiveness in reducing risks and its compliance with best security practices.
Benefits of ARTIFICIAL INTELLIGENCE in Defining Compensating Controls: The incorporation of ARTIFICIAL INTELLIGENCE in this scenario offers several benefits:
- Speed and Efficiency: ARTIFICIAL INTELLIGENCE can process large volumes of data in record time, allowing for rapid and efficient identification and proposal of compensating controls.
- Specialized Technical Support: Through its learning and analytical capabilities, ARTIFICIAL INTELLIGENCE provides specialized technical support in developing the most appropriate controls to mitigate risks.
- Data Analysis Precision: With ARTIFICIAL INTELLIGENCE, it is possible to conduct a detailed analysis of data, identifying patterns and relationships between functions, contributing to the definition of more precise controls.
- Elimination of Human Bias: ARTIFICIAL INTELLIGENCE acts impartially, based solely on data and logic, reducing the influence of human bias in defining controls.
- Initial Template: The compensating control suggested by ARTIFICIAL INTELLIGENCE can be used as an initial template for activities, speeding up the implementation process.
Conclusion: The use of ARTIFICIAL INTELLIGENCE in defining compensating controls for segregation of duties risks brings significant benefits to companies. Speed, specialized technical support, and data analysis precision enable organizations to implement more effective and agile controls. With TrustSis at the forefront of this approach, incorporating ChatGPT into its GRC Design Studio (GDS) tool, risk matrix review projects and control definitions become more precise, benefiting clients with high-quality and compliant results. ARTIFICIAL INTELLIGENCE thus stands out as a powerful ally in risk management and strengthening security within companies.
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THE FUTURE IS HERE!
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