Mapping the Latent Risk Layer in Enterprise Platforms: A Practical Model for Workforce Data Integrity, Access Behavior, and Cyber Threat Detection

Manoj Parasa

doi:10.62127/aijmr.2024.v02i06.1366

Mapping the Latent Risk Layer in Enterprise Platforms: A Practical Model for Workforce Data Integrity, Access Behavior, and Cyber Threat Detection

Author(s)	Manoj Parasa
Country	India
Abstract	Risk in enterprise platforms rarely appears as a single obvious security event. In many cases, it develops quietly across ordinary workforce transactions, such as an incorrect manager assignment, a delayed employee status update, an unnecessary permission retention, an unusual access pattern, or a repeated integration exception. When these signals are reviewed separately by HR operations, security teams, and system administrators, the broader risk pattern is often missed. This study introduces a practical model for mapping the latent risk layer in enterprise platforms by connecting workforce data integrity, access behavior, and cyber threat indicators into a unified risk-scoring structure. SAP SuccessFactors is used as the primary enterprise context because its Employee Central records, MDF objects, role-based permissions, workflow approvals, audit trails, and integration events provide measurable signals that can be evaluated without relying on speculative or unrealistic system capabilities. The proposed approach develops risk features from employee master data changes, permission activity, effective-dated records, workflow exceptions, integration failures, sensitive data access, and security alerts. These features are evaluated through a comparative modeling design that includes rule-based monitoring, Logistic Regression, Isolation Forest, and tree-based classification methods. Model performance is assessed using accuracy, precision, recall, F1-score, false positive rate, detection latency, and remediation effort. The study is designed to show how combined workforce and access signals can identify high-risk events earlier than traditional isolated controls. Its main contribution is a realistic and implementation-oriented framework that helps organizations convert fragmented HR, access, and security events into measurable enterprise risk intelligence. The findings provide practical value for SAP SuccessFactors governance, identity management, audit readiness, cybersecurity monitoring, and cross-platform workforce data control.
Keywords	Latent risk layer; workforce data integrity; enterprise platforms; SAP SuccessFactors; access behavior analytics; role-based permissions; cyber threat detection; employee master data; anomaly detection; risk scoring.
Discipline	Engineering
Published In	Volume 2, Issue 6, November-December 2024
Published On	2024-11-15
DOI	https://doi.org/10.62127/aijmr.2024.v02i06.1366

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Mapping the Latent Risk Layer in Enterprise Platforms: A Practical Model for Workforce Data Integrity, Access Behavior, and Cyber Threat Detection

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