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User Access Review Data Collection for SOX Compliance
An AI agent that automates the collection of user access listings and permission reports from various critical financial applications, preparing the data for periodic user access reviews as required by SOX.
Process Details
Inputs
- List of in-scope applications
- Reviewer assignment list
Outputs
- Consolidated user access listings and permission reports from all in-scope systems
- Standardized evidence package for reviewers
- List of users with potential SoD conflicts or policy violations
Systems
Describe it in English.
It runs deterministically.
This use case solution follows these general steps at a high level.
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01
List of in-scope applications for SOX user access reviews (e.g., ERP Systems, Financial Reporting Tools, Treasury Systems)
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02
Export user lists and their assigned roles and permissions from all in-scope applications. Various formats (CSV, Excel, PDF, text) are involved here.
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03
Consolidates the data into a central repository or GRC Tool (ServiceNow GRC)
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04
Flags users with excessive permissions based on pre-defined Segregation of Duties (SoD) rules. Identifies dormant accounts or accounts with last login dates exceeding a threshold.
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05
Organizes the collected reports and any initial flags into evidence packages for each application owner or reviewer.
Frequently Asked Questions
Our applications range from modern SaaS to legacy on-premise systems. How does the agent extract data from such a diverse landscape?
It can interact with systems in multiple ways:
APIs: For modern applications with available APIs.
Scripts: For legacy systems or databases.
File Processing: It can parse user lists from various formats, including CSV, Excel, and even structured text within PDFs.
APIs: For modern applications with available APIs.
Scripts: For legacy systems or databases.
File Processing: It can parse user lists from various formats, including CSV, Excel, and even structured text within PDFs.
How are the Segregation of Duties (SoD) rules defined and applied by the agent?
The SoD rules are defined in a simple, readable format (like a spreadsheet) managed by your compliance or business process experts. For example, a rule could state "A user cannot have both 'Create Vendor' AND 'Approve Payment' permissions." The agent reads this rule matrix and compares it against the permissions data it collects for each user, flagging any violations it finds.
How does the agent handle cryptic permission names from systems like SAP to make reviews meaningful for business owners?
The agent can incorporate a "translation layer" or a mapping table. Your team can define this table to map technical, system-specific permission codes (e.g., SAP's F_BKPF_BUK or VA01) to plain-English, business-friendly descriptions (e.g., "Ability to Post GL Journal Entry" or "Create Sales Order"). The final evidence package will then display these understandable descriptions alongside the technical codes, enabling business owners to make informed decisions about whether the access is appropriate.
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