Advanced Tax Fraud Detection

An advanced technical program focused on leveraging big data analytics, artificial intelligence (AI), and anomaly detection techniques to identify tax evasion and tax fraud at an early stage. The program emphasizes the analysis of tax returns, electronic invoicing (e-Invoicing) data, and financial transactions to support risk-based compliance, audit, and enforcement activities.

Duration: 3 Days
Training Hours: 18 Training Hours
Target Audience: Tax risk analysts, tax compliance auditors, and financial analytics and data teams within the Zakat, Tax and Customs Authority (ZATCA), as well as public and private sector organizations.
Delivery Mode: In-person / Hybrid

Detailed Learning Objectives

By the end of the program, participants will be able to:

• Apply statistical analysis techniques to identify anomalies and unusual patterns in tax returns and financial data.
• Implement anomaly detection algorithms to analyze electronic invoicing (e-Invoicing) data and detect potential tax fraud.
• Develop sector-specific Risk Indicators Matrices for industries with elevated tax compliance risks.
• Apply Risk-Based Audit (RBA) methodologies to prioritize tax cases for audit and investigation.
• Produce data-driven analytical reports that support regulatory oversight, compliance monitoring, and audit decision-making.

Key Topics

• Statistical Techniques for Fraud Detection: Applying Benford’s Law, Z-Score Analysis, and Regression Analysis to identify manipulation and irregularities in tax data.
• Artificial Intelligence and Machine Learning Applications: AI-driven tax return analysis, predictive risk modeling, and anomaly detection for tax compliance.
• Sector-Specific Tax Risk Indicators: Risk assessment methodologies for real estate, e-commerce, construction, consulting services, and other high-risk industries.
• Supply Chain and Cross-Border Invoice Analysis: Detecting suspicious long-chain transactions, cross-border invoicing schemes, and complex tax evasion patterns.
• Compliance Dashboards: Designing interactive dashboards and key performance indicators (KPIs) for continuous tax compliance monitoring and risk management.