A tailored course, built for your situation
Advanced Fraud Intelligence for Internal Audit Professionals
A 12-module implementation-grade course bridging forensic audit, data analytics, and governance in high-assurance environments
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Traditional audit training doesn’t prepare professionals for the technical depth required in modern fraud investigations.
The situation this course is for
Auditors are increasingly expected to navigate complex data environments, validate algorithmic controls, and produce defensible findings, yet most training stops at process walkthroughs and sample testing. Without structured methods for data-driven investigation, professionals risk being sidelined in high-impact cases.
Who this is for
Business and technology professionals in internal audit, compliance, or risk roles who are moving beyond checklists into technical investigation and control design.
Who this is not for
This course is not for entry-level auditors focused only on compliance checklists or professionals seeking certification exam prep.
What you walk away with
- Apply structured investigation frameworks to complex fraud scenarios
- Design audit procedures that integrate with live data pipelines
- Document findings using defensible, standards-aligned evidence models
- Automate repetitive forensic tasks using rule-based validation scripts
- Lead cross-functional fraud reviews with technical credibility
The 12 modules (with all 144 chapters)
Module 1. Foundations of Fraud Intelligence in Audit
Establish core principles of fraud detection within internal audit, including threat modeling, red flags, and assurance frameworks.
12 chapters in this module
- Understanding fraud typologies in enterprise settings
- Mapping fraud risk to audit objectives
- Integrating fraud awareness into audit planning
- Regulatory expectations for fraud detection
- Case study: Billing scheme identification
- Case study: Payroll fraud patterns
- Case study: Asset misappropriation red flags
- Developing fraud risk questionnaires
- Using historical data to inform audit focus
- Aligning fraud checks with control frameworks
- Building fraud narratives from transaction trails
- Documenting initial fraud risk assessments
Module 2. Data-Driven Fraud Detection
Leverage data analytics to identify anomalies and patterns indicative of fraudulent activity.
12 chapters in this module
- Sourcing data for fraud analysis
- Cleaning and normalizing audit datasets
- Identifying outliers using statistical methods
- Applying Benford’s Law to transaction data
- Detecting duplicate payments
- Flagging after-hours activity
- Analyzing void and reversal patterns
- Using clustering to detect collusion
- Time-series analysis for anomaly detection
- Benchmarking against peer data
- Validating findings with sampling
- Reporting data anomalies to stakeholders
Module 3. Evidence Collection and Chain of Custody
Ensure forensic integrity through proper documentation, preservation, and handling of digital evidence.
12 chapters in this module
- Defining digital evidence in audit contexts
- Establishing chain of custody protocols
- Hashing files for integrity verification
- Timestamping evidence collection
- Securing audit data transfers
- Maintaining audit logs for evidence
- Documenting evidence sources
- Handling metadata in investigations
- Using write-blockers for data acquisition
- Storing evidence in secure repositories
- Preparing evidence for legal review
- Avoiding contamination in digital forensics
Module 4. Interview Techniques for Suspected Fraud
Conduct effective, ethical interviews during fraud investigations.
12 chapters in this module
- Planning investigative interviews
- Establishing rapport with interviewees
- Using open-ended questioning
- Detecting deception through verbal cues
- Managing emotional responses
- Documenting interview content
- Avoiding leading questions
- Conducting remote interviews securely
- Interviewing third parties
- Coordinating with legal counsel
- Handling denials and deflections
- Closing interviews with clear next steps
Module 5. Fraud Risk Assessment Frameworks
Build and apply comprehensive fraud risk assessments aligned with organizational risk profiles.
12 chapters in this module
- Identifying fraud risk factors
- Assessing likelihood and impact
- Mapping fraud risks to business processes
- Engaging process owners in risk identification
- Using risk matrices for prioritization
- Updating assessments based on findings
- Benchmarking against industry fraud data
- Incorporating external threat intelligence
- Linking fraud risks to controls
- Reporting fraud risk to management
- Integrating fraud risk into ERM
- Reviewing fraud risk at audit committee level
Module 6. Automating Fraud Detection Controls
Design and implement automated controls to detect and prevent fraud in real time.
12 chapters in this module
- Identifying candidates for automation
- Defining rule-based detection logic
- Building exception reporting systems
- Integrating with ERP transaction streams
- Testing automated alerts
- Reducing false positives
- Monitoring rule performance
- Updating rules based on new threats
- Documenting control logic for auditors
- Validating automation with samples
- Scaling detection across systems
- Reporting on automated control effectiveness
Module 7. Forensic Data Analysis Techniques
Apply advanced analytical methods to uncover hidden fraud patterns.
12 chapters in this module
- Link analysis for identifying networks
- Benford’s Law application and limitations
- Gap analysis in sequence numbers
- Trend analysis for unusual behavior
- Stratification of transaction data
- Identifying round-dollar transactions
- Analyzing approval hierarchies
- Detecting policy bypasses
- Using pivot tables for fraud exploration
- Visualizing data for fraud patterns
- Correlating multiple data sources
- Validating findings with business context
Module 8. Reporting and Communicating Fraud Findings
Develop clear, actionable, and defensible fraud investigation reports.
12 chapters in this module
- Structuring investigation reports
- Writing executive summaries
- Presenting findings objectively
- Using visuals to support conclusions
- Linking evidence to conclusions
- Avoiding speculative language
- Classifying fraud severity
- Recommending corrective actions
- Communicating with legal teams
- Presenting to audit committees
- Managing confidentiality in reporting
- Archiving reports for future reference
Module 9. Fraud Prevention Control Design
Design preventive controls that reduce the likelihood of fraud occurrence.
12 chapters in this module
- Differentiating preventive and detective controls
- Implementing segregation of duties
- Designing approval workflows
- Using system-enforced controls
- Limiting access based on role
- Enforcing dual authorization
- Monitoring privileged accounts
- Implementing password policies
- Conducting access reviews
- Educating employees on fraud risks
- Testing preventive controls
- Reporting on control design effectiveness
Module 10. Investigation Project Management
Manage fraud investigations with discipline, timing, and resource efficiency.
12 chapters in this module
- Defining investigation scope
- Setting investigation objectives
- Developing work plans
- Assigning roles and responsibilities
- Tracking investigation progress
- Managing stakeholder expectations
- Handling parallel investigations
- Coordinating with external parties
- Managing investigation budgets
- Adjusting scope based on findings
- Maintaining investigation timelines
- Closing investigations formally
Module 11. Ethics and Professional Judgment in Fraud
Navigate ethical dilemmas and maintain professional standards during investigations.
12 chapters in this module
- Applying professional skepticism
- Avoiding conflicts of interest
- Maintaining independence
- Handling confidential information
- Reporting unethical behavior
- Dealing with pressure to minimize findings
- Documenting professional judgments
- Consulting with ethics committees
- Adhering to auditing standards
- Managing personal bias
- Upholding public trust
- Responding to retaliation concerns
Module 12. Integrating Fraud Intelligence into Audit Programs
Embed fraud considerations into routine audit planning and execution.
12 chapters in this module
- Including fraud risk in audit planning
- Updating audit programs for fraud
- Training audit teams on fraud detection
- Using data analytics in audits
- Documenting fraud testing
- Reporting fraud findings in audit reports
- Following up on prior fraud issues
- Sharing fraud insights across engagements
- Leveraging lessons from investigations
- Building fraud KPIs for audit teams
- Aligning with global audit standards
- Continuous improvement in fraud auditing
How this maps to your situation
- Responding to suspected fraud in procurement
- Auditing HR systems for payroll fraud
- Validating revenue recognition controls
- Investigating unauthorized access incidents
Before vs. after
Before
Uncertain how to move beyond checklist auditing into proactive fraud detection and technical investigation.
After
Equipped with structured methods, templates, and playbooks to lead data-informed fraud reviews with confidence.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 60-70 hours of self-paced learning, designed for professionals balancing full-time roles.
If nothing changes
Professionals who do not build technical investigation skills may find themselves excluded from high-impact audits and leadership roles as fraud detection becomes more data-centric and automated.
How this compares to the alternatives
Unlike certification prep courses or generic audit training, this program focuses on implementation-grade skills used in real fraud investigations, with actionable templates and workflows not available in academic or vendor-led programs.
Frequently asked
Who is this course designed for?
Internal auditors, compliance professionals, and risk analysts who want to deepen their technical capabilities in fraud investigation and detection.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this course focused on a specific industry?
No, the frameworks and techniques apply across sectors including financial services, healthcare, technology, and public sector.
$199 one-time. Approximately 60-70 hours of self-paced learning, designed for professionals balancing full-time roles..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours