Understand how SAP Business Integrity Screening helps organizations identify suspicious activities, reduce fraud risks, and improve compliance.

Learn how to monitor transactions, create detection rules, investigate alerts, and support business risk management processes.

Develop practical skills in configuring SAP Business Integrity Screening, managing cases, and analyzing business transactions.

Apply your knowledge through practical projects focused on fraud detection, compliance monitoring, and risk assessment.

SAP Business Integrity Screening (BIS) is an SAP solution used to identify suspicious business activities, fraud patterns, anomalies, and compliance risks. It supports screening, risk analysis, alert generation, investigation, and monitoring processes.

SAP BIS can be used for fraud detection, anomaly detection, compliance monitoring, transaction screening, and business-process risk control. Common scenarios include accounts payable fraud, duplicate payments, vendor manipulation, ghost employees, and expense fraud.

BIS architecture includes components for data extraction, screening, rule processing, risk evaluation, alert management, investigation, reporting, and monitoring. It can integrate with SAP ECC, SAP S/4HANA, and non-SAP systems.

A BIS landscape can include server and client components, data-extraction mechanisms, screening rules, risk-scoring functionality, alert management, investigation capabilities, reporting, and monitoring components. User management and authorization are also important parts of the system.

SAP BIS can extract relevant business information from SAP ECC for screening and analysis. Financial, procurement, HR, and other business data can be evaluated against configured screening rules.

SAP BIS can use data from SAP S/4HANA to identify suspicious transactions and business activities. Integration can support financial fraud detection, procurement monitoring, compliance screening, and other integrity-management scenarios.

Non-SAP data sources can be connected to BIS when external information is required for screening or risk analysis. This allows organizations to combine SAP business information with relevant third-party datasets.

The BIS data model defines how information used for screening is structured and represented within the solution. Understanding the data model helps configure data extraction, screening rules, risk analysis, and investigation processes.

Data extraction transfers relevant business information from source systems into the BIS environment for screening. Extracted information can include financial transactions, procurement records, HR information, and other data required by detection scenarios.

SAP BIS can screen financial information from areas such as Accounts Payable, Accounts Receivable, General Ledger, and procurement. These datasets can be analyzed for unusual transactions, duplicate payments, suspicious vendors, and other risk indicators.

HR data can be used to identify patterns associated with employee-related fraud. For example, screening can support ghost-employee detection by comparing employee information with financial or organizational data.

Screening rules define the conditions used to identify potentially suspicious business activities. Rules can evaluate transaction attributes, master data, thresholds, relationships, and other indicators to generate alerts.

The pre-built screening rules library provides predefined detection logic for common fraud and compliance scenarios. These rules can provide a starting point before organizations configure additional business-specific screening requirements.

Custom screening rules can be created to address organization-specific fraud and compliance requirements. SAP BIS training covers custom rule creation using BRF+, along with rule strategy configuration and validation.

BRF+ (Business Rule Framework plus) is an SAP framework used to define and manage business rules. In BIS, it can be used to create customized screening logic and decision conditions for fraud and integrity scenarios.

Rule strategy configuration determines how different screening rules are organized and executed for a particular detection scenario. It helps structure the logic used to evaluate transactions and identify potential risks.

Risk scoring assigns a risk value or classification based on configured detection criteria and rule results. Higher-risk activities can then be prioritized for investigation or additional review.

Screening rules should be tested against representative business data to verify that the intended conditions are detected correctly. Validation helps identify incorrect logic, missing conditions, and excessive false positives before production use.

Real-time processing evaluates relevant information as business transactions or events occur, depending on the configured architecture and integration. It can help organizations identify suspicious activities quickly.

Batch processing evaluates data in scheduled or periodic processing runs. It is useful when large volumes of transactions need to be screened according to defined schedules.

Accounts payable fraud detection analyzes supplier and payment-related information for suspicious patterns. Examples include duplicate payments, unusual payment behavior, and vendor-master manipulation.

Duplicate payment screening can compare attributes such as vendor, amount, invoice information, dates, and other configured transaction characteristics. Potential duplicates can generate alerts for further investigation.

Ghost employee detection identifies potentially fictitious or unauthorized employees by analyzing HR and related business data. Screening can identify unusual employee records or relationships that may require investigation.

Vendor master screening evaluates changes or characteristics of supplier records that may indicate suspicious activity. It can help identify unusual vendor information, relationships, or transactions requiring investigation.

Expense report fraud detection analyzes employee expense claims for suspicious patterns or policy violations. Rules can identify unusual amounts, duplicate claims, abnormal frequencies, or other configured risk indicators.

Alert management handles alerts generated when screening rules identify potentially suspicious activity. It includes alert generation, prioritization, assignment, investigation, evidence management, resolution, and sign-off.

Alerts can be prioritized according to configured risk scores, thresholds, rule results, and other business criteria. Prioritization helps investigators focus on higher-risk cases.

Alerts can be assigned to appropriate investigators according to organizational workflows and configured responsibilities. Assignment supports structured investigation and accountability for resolving potential risks.

The investigation workflow provides a structured process for reviewing alerts, collecting evidence, documenting findings, and resolving suspicious activities. It helps standardize how investigators handle potential fraud cases.

Evidence management allows investigators to collect and maintain information supporting an investigation. Evidence and attachments can be associated with alerts or cases to provide documentation for analysis and review.

Case management organizes investigations into structured cases containing relevant alerts, documentation, evidence, activities, and results. It provides a controlled framework for managing investigations from initiation through closure.

Investigators can document observations, evidence, analysis, decisions, and investigation results within the relevant workflow. Structured documentation helps maintain an audit trail and supports reporting and review.

BIS investigations may require information or participation from functions such as legal, HR, finance, procurement, and compliance. Case-management processes can support the sharing and documentation of relevant investigation information according to configured access controls.

Case closure occurs after an investigation reaches a defined conclusion and required activities have been completed. Closure information can be retained for reporting, audit, and future analysis.

Fraud risk dashboards provide visual views of fraud-related indicators, alerts, investigation status, and risk trends. They help management and investigators monitor the integrity-risk landscape.

Alert trend analysis examines alert volumes, categories, risk levels, and changes over time. It can help organizations identify recurring patterns and evaluate screening effectiveness.

False-positive monitoring evaluates how many generated alerts do not represent genuine risks after investigation. Monitoring this rate can help organizations refine screening rules and improve detection efficiency.

Continuous monitoring involves regularly or continuously screening business activities for potential risks. BIS supports scheduling, automation, real-time monitoring capabilities, and threshold-based alerting according to the configured environment.

Threshold-based alerting generates an alert when a transaction or activity meets a configured threshold condition. Thresholds can be based on values, frequencies, risk scores, or other business-specific criteria.

BIS can be integrated with Security Information and Event Management (SIEM) environments as part of a broader monitoring architecture. This can help correlate integrity-related information with security and event-monitoring data.

Performance optimization involves appropriate data-processing strategies, efficient rule design, suitable scheduling, and system-level tuning. Large-volume screening environments require careful consideration of processing loads, data extraction, and rule execution.

BIS can support Anti-Bribery and Corruption (ABC) screening by applying configured rules to business transactions and relevant master data. Potentially suspicious activities can be identified and routed for investigation.

SAP BIS can be configured to identify transaction patterns and activities associated with potential money-laundering risks. Screening rules, risk scoring, alerts, and investigations can form part of the overall monitoring process.

The Foreign Corrupt Practices Act (FCPA) includes requirements related to anti-bribery and accounting practices. SAP BIS can support screening and monitoring processes designed around an organization's FCPA compliance requirements.

BIS can be used to identify transactions or business activities that may require review under an organization's anti-bribery controls. Screening rules and investigation workflows can support compliance-monitoring processes aligned with applicable requirements.

BIS provides screening, investigation, evidence, case documentation, and reporting capabilities that can support audit and compliance activities. Structured investigation records can help organizations document how potential risks were identified and addressed.

AI-driven anomaly detection can support the identification of unusual patterns that may not be easily detected through traditional fixed rules. The Chennai course curriculum covers AI-driven anomaly detection as part of BIS integration with SAP S/4HANA and SAP BTP.

SAP BIS can participate in cloud-based integrity-screening architectures using SAP BTP capabilities. The curriculum covers cloud-based integrity screening, AI-driven anomaly detection, and integration with SAP Analytics Cloud.

The Edubrights course page lists projects including Financial Fraud Detection System, Vendor Risk Monitoring Process, Compliance Violation Detection, Employee Expense Fraud Analysis, and Automated Risk Alert Management. The curriculum also covers AP fraud detection, HR ghost-employee screening, and an end-to-end BIS implementation case study.

Learners can develop skills in BIS architecture, data extraction, data modeling, BRF+ rule configuration, risk scoring, transaction monitoring, fraud detection, alert management, case management, investigation workflows, evidence handling, compliance screening, continuous monitoring, analytics, SIEM integration, S/4HANA integration, BTP integration, and AI-based anomaly detection. These areas follow the technical modules published on the Edubrights course page.