AI Risk and Fraud Detection Operations Course

Name: AI-Assisted Risk and Fraud Detection Operations Course
Availability: InStock

Turn fraud-risk evidence into alert priorities, investigation workflows, governance controls, and monitored response operations.

AI Risk and Fraud Detection Operations Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Abu Dhabi, Amsterdam, Paris, Madrid, San Diego, Geneva and more
Next session: 12 – 16 October 2026, Abu Dhabi
Average fee: 5,800 €

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AI-Assisted Risk and Fraud Detection Operations Course

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Overview

AI-Assisted Risk and Fraud Detection Operations Course is a five-day foundation course for fraud analysts, risk managers, compliance teams, internal auditors, operations managers, and financial-crime professionals, who leave with an AI-Assisted Risk and Fraud Detection Operating Framework. Participants map fraud risks, organize transaction and behavioral evidence, define detection logic, prioritize alerts, investigate cases, document decisions, govern AI use, monitor performance, and coordinate response. Agile Leaders Training Center provides training in AI-assisted risk and fraud detection operations.

Who Should Attend

Fraud teams responsible for detection, triage, and investigation
Risk teams responsible for scenarios, controls, and treatment
Compliance teams responsible for monitoring and case evidence
Audit teams responsible for assurance and traceability
Operations teams responsible for alerts and response coordination
Financial-crime teams responsible for typologies and escalation

The course assumes participants contribute to risk, fraud, compliance, audit, or operational decisions and leaves out model coding, forensic accounting qualifications, credit scoring, cybersecurity incident response, and legal advice.

Departments and Industries

The course supports fraud and risk detection operations across transaction-intensive and service organizations.

Fraud prevention and financial-crime functions
Enterprise risk and compliance teams
Banking, payments, insurance, and fintech organizations
Retail, e-commerce, and telecommunications operations
Healthcare claims and public-service payment teams
Internal audit and operational assurance functions

Learning Objectives

By the end of this course, participants will be able to:

Apply fraud-risk hypotheses to detection requirements
Analyze transaction, behavioral, and contextual evidence
Build alert logic, thresholds, and prioritization criteria
Evaluate cases through documented investigation workflows
Use governance and monitoring controls for AI-assisted detection
Build an AI-Assisted Risk and Fraud Detection Operating Framework

Course Agenda

Day 1: Fraud Risk and Evidence

Fraud Risk and Typology Map
Transaction and Behavior Evidence Inventory
Data Provenance and Quality Checklist
Risk Hypothesis and Indicator Register
Detection Scope and Decision-Rights Canvas

Day 2: Detection Logic and Alerts

Rule, Feature, and Anomaly Logic Matrix
Alert Threshold and Sensitivity Table
Risk Scoring and Priority Grid
Network and Relationship Review Map
False-Positive and Missed-Case Register

Day 3: Investigation and Response

Alert Triage and Assignment Workflow
Case Evidence and Decision Record
Investigation Question and Test Plan
Escalation and Response Protocol
Feedback-to-Detection Improvement Loop

Day 4: Governance and Monitoring

AI Detection Use-Case Governance Sheet
Explanation and Human Review Checklist
Bias, Fairness, and Stakeholder Impact Review
Detection Performance Monitoring Scorecard
Model, Rule, and Threshold Change Control

Day 5: Risk and Fraud Detection Practice

Suggested Exercise: Map Fraud Risks and Evidence
Suggested Exercise: Design Alert Logic and Priorities
Suggested Exercise: Investigate and Document a Case
Suggested Exercise: Establish Governance and Monitoring Controls
Capstone Exercise: AI-Assisted Risk and Fraud Detection Operating Framework

Practical Exercises

The course uses suggested activities that convert fraud-risk evidence into traceable detection and response operations.

Suggested activity: define fraud typologies, hypotheses, indicators, data sources, ownership, and evidence limitations
Suggested activity: design rules, anomaly features, thresholds, risk scores, priorities, and false-positive review
Suggested activity: triage an alert, assemble evidence, record decisions, escalate findings, and feed outcomes back into detection
Suggested activity: assign human review, explanation, fairness, performance, monitoring, and change controls

FAQs

Who suits AI-assisted risk and fraud detection training?

AI-assisted risk and fraud detection training suits fraud, risk, compliance, audit, operations, and financial-crime teams. It assumes responsibility for monitoring or decisions and requires no programming or model development.

How does AI-assisted fraud detection differ from cybersecurity incident response training?

AI-assisted fraud detection focuses on fraud scenarios, transaction and behavior signals, alerts, investigations, and case response. Cybersecurity incident response focuses on threats to systems, networks, identities, and digital services.

How can AI prioritize fraud alerts?

AI can prioritize fraud alerts by combining indicators, anomaly signals, relationships, historical outcomes, risk severity, and confidence. Human investigators remain responsible for context, evidence, escalation, and final decisions.

How should false positives be managed in fraud detection?

False positives should be measured by scenario and threshold, reviewed for root causes, compared with missed-case risk, documented, and used to revise data, rules, features, priorities, and investigator guidance.

What belongs in an AI-Assisted Risk and Fraud Detection Operating Framework?

The framework includes typologies, hypotheses, evidence, detection logic, thresholds, alert priorities, investigation records, response routes, human oversight, explanation, fairness, monitoring, and change controls.

Conclusion

Participants take back an AI-Assisted Risk and Fraud Detection Operating Framework connecting risks, evidence, alerts, cases, governance, and response. The framework makes detection assumptions, investigator decisions, ownership, performance, and change visible across teams. It supports traceable fraud operations, focused review effort, and controlled improvement as patterns and evidence change.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 1-20 of 76 events

Location	Dates	Duration	Mode	Price
Abu Dhabi	Week 42, 2026 12 – 16 October 2026	5 Days	Onsite	€4,700
Amsterdam	Week 43, 2026 19 – 23 October 2026	5 Days	Onsite	€5,700
Paris	Week 44, 2026 26 – 30 October 2026	5 Days	Onsite	€5,700
Madrid	Week 44, 2026 26 – 30 October 2026	5 Days	Onsite	€5,700
San Diego	Week 45, 2026 2 – 6 November 2026	5 Days	Onsite	€14,000
Geneva	Week 45, 2026 8 – 12 November 2026	5 Days	Onsite	€6,200
London	Week 47, 2026 16 – 20 November 2026	5 Days	Onsite	€5,700
Tbilisi	Week 47, 2026 16 – 20 November 2026	5 Days	Onsite	€5,000
Bangkok	Week 47, 2026 22 – 26 November 2026	5 Days	Onsite	€6,000
Dubai	Week 49, 2026 30 November – 4 December 2026	5 Days	Onsite	€4,500
Porto	Week 49, 2026 30 November – 4 December 2026	5 Days	Onsite	€5,700
Langkawi	Week 49, 2026 6 – 10 December 2026	5 Days	Onsite	€6,000
Abu Dhabi	Week 51, 2026 14 – 18 December 2026	5 Days	Onsite	€4,700
Manama	Week 51, 2026 20 – 24 December 2026	5 Days	Onsite	€4,700
Baku	Week 53, 2026 28 December 2026 – 1 January 2027	5 Days	Onsite	€5,000
Tashkent	Week 53, 2027 3 – 7 January 2027	5 Days	Onsite	€4,500
Zanzibar	Week 01, 2027 10 – 14 January 2027	5 Days	Onsite	€5,500
London	Week 02, 2027 11 – 15 January 2027	5 Days	Onsite	€5,700
Paris	Week 03, 2027 18 – 22 January 2027	5 Days	Onsite	€5,700
Munich	Week 03, 2027 18 – 22 January 2027	5 Days	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewAI-Assisted Risk and Fraud Detection Operations Course is a five-day foundation course for fraud analysts, risk managers, compliance teams, internal auditors, operations managers, and financial-crime professionals, who leave with an AI-Assisted Risk and Fraud Detection Operating Framework. Participants map fraud risks, organize transaction and beh…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

AI Risk and Fraud Detection Operations Course