Digital Fraud Risk Management and Controls Course

Name: Digital Fraud Risk Management and Controls Course
Availability: InStock

Advanced digital fraud risk, identity controls, detection analytics, case response, customer protection, and control governance

At a glance

Duration: 1 Week
Format: Classroom
Cities: Sharm El-Sheikh, Dubai, Amsterdam, Berlin, Bangkok, Toronto and more
Next session: 26 – 30 October 2026, Sharm El-Sheikh
Average fee: 5,750 €

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Digital Fraud Risk Management and Controls Course

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Overview

Digital Fraud Risk Management and Controls Course is a one-week advanced programme for professionals responsible for fraud exposure across digital identities, customer journeys, accounts, devices, online payments, platforms, and connected services. Participants connect fraud typologies with threat intelligence, journey mapping, identity proofing, authentication, transaction monitoring, device and behavioural signals, case operations, investigations, privacy, customer protection, redress, third-party dependencies, control testing, and continuous improvement.

Each participant develops a Digital Fraud Risk and Control Playbook for a selected digital service. The playbook contains a fraud threat model, journey-risk map, control architecture, signal catalogue, detection scenarios, alert and case workflow, investigation boundaries, privacy safeguards, victim-response design, performance dashboard, and improvement backlog. Agile Leaders Training Center presents digital fraud management as a continuously tested operating system across people, process, data, technology, and governance.

Who Should Attend

Fraud-risk, fraud-strategy, fraud-operations, and financial-crime professionals
Digital banking, payments, e-commerce, platform, and customer-journey leaders
Identity, access, authentication, cybersecurity, and threat-intelligence teams
Data analytics, model-risk, decision-science, and monitoring professionals
Compliance, privacy, legal, internal audit, and operational-risk specialists
Investigators, dispute, chargeback, complaints, and customer-protection teams
Product, engineering, vendor-management, and third-party assurance functions

The course assumes participants support fraud decisions or digital services. It does not provide hacking instruction, legal advice, law-enforcement authority, or a substitute for competent technical, privacy, investigative, and regulatory review.

Learning Objectives

Map digital fraud exposure across identities, devices, accounts, transactions, channels, and third parties
Distinguish cyber intrusion, social engineering, authorised payment manipulation, identity fraud, and internal abuse
Design layered preventive, detective, responsive, and recovery controls
Strengthen identity proofing, authentication, account recovery, and customer redress
Turn data and threat signals into explainable detection scenarios and alert priorities
Govern cases, evidence, privacy, referrals, and cross-functional response
Measure control effectiveness, customer impact, false positives, losses, and emerging threats
Continuously test and improve fraud controls as tactics and technology change

Practical Work Product

Participants build a Digital Fraud Risk and Control Playbook containing:

Digital service and customer-journey map
Fraud typology and threat model
Identity and account control architecture
Signal and data-source catalogue
Detection-scenario and threshold library
Alert, case, escalation, and referral workflow
Privacy, fairness, and customer-redress safeguards
Control performance dashboard
Ninety-day improvement backlog

Day 1: Digital Fraud Landscape and Journey Risk

Digital ecosystems, trust boundaries, dependencies, and attack surfaces
Fraud actors, motivation, capability, collaboration, and industrialised fraud services
Social engineering, impersonation, phishing, business-email compromise, scams, and authorised payment manipulation
Account takeover, synthetic identity, application fraud, mule activity, internal abuse, and collusion
Mapping exposure through onboarding, login, account change, payment, support, recovery, and closure

Workshop: build a customer-journey risk map linking actors, methods, opportunities, consequences, and existing controls.

Day 2: Digital Identity, Authentication, and Account Protection

Identity proofing risk, evidence, authoritative sources, and verification decisions
Stolen, fabricated, synthetic, manipulated, and compromised identity patterns
Authentication assurance, device binding, biometrics, passkeys, step-up controls, and recovery risk
SIM swaps, proxy and IP indicators, device tenure, account age, and unusual change events
Privacy risk, accessibility, bias, customer friction, failed checks, appeals, and redress

Workshop: design an identity and account-protection control architecture with assurance levels, exceptions, compensating controls, and residual-risk decisions.

Day 3: Signals, Detection, and Fraud Analytics

Transaction, device, network, behavioural, identity, customer, and threat-intelligence signals
Detection rules, scenarios, scores, models, thresholds, velocity, linkage, and sequence
Leading indicators, data quality, feature drift, model limitations, and explainability
Alert prioritisation, false positives, false negatives, capacity, queues, and service levels
Testing detection coverage against typologies and adversary adaptation

Workshop: create a signal catalogue and detection library with logic, data lineage, thresholds, ownership, testing, and review frequency.

Day 4: Cases, Investigation, Response, and Customer Protection

Alert enrichment, triage, case creation, severity, ownership, and escalation
Evidence integrity, timelines, access controls, documentation, and decision records
Boundaries between fraud operations, cybersecurity, compliance, privacy, legal, HR, and law enforcement
Transaction holds, account restrictions, step-up checks, customer contact, and proportional intervention
Victim support, complaints, disputes, reimbursement decisions, redress, and communication

Workshop: design an end-to-end case and response workflow for a coordinated account-takeover and payment-fraud event.

Day 5: Governance, Control Effectiveness, and Adaptation

Fraud risk appetite, ownership, committees, authorities, escalation, and reporting
Third-party identity, payment, data, cloud, platform, and outsourced-operation dependencies
Metrics for attempted and realised fraud, prevented loss, detection quality, case outcomes, customer impact, and cost
Control testing, scenario replay, red-team findings, incident lessons, and remediation verification
Threat monitoring, continuous evaluation, change governance, and the ninety-day improvement backlog

Capstone: present and challenge the Digital Fraud Risk and Control Playbook before a simulated fraud governance committee.

Training Methods

Digital fraud cases and customer-journey threat mapping
Identity, signal, detection, and control-design workshops
Alert, case, response, and redress simulations
Control-testing and performance-measurement exercises
Peer review of fraud playbooks and improvement backlogs

Course Outcomes

Participants leave able to connect evolving digital fraud methods with layered controls, usable signals, accountable decisions, proportionate response, and measurable performance. They can improve fraud protection while addressing privacy, fairness, customer friction, and redress rather than optimising loss reduction in isolation.

Frequently Asked Questions

Is this a cybersecurity course?

No. It addresses fraud risk and controls across digital services and interfaces with cybersecurity where the same event involves both compromise and fraud.

Does the course teach offensive hacking?

No. It studies fraud methods for defensive risk assessment, detection, response, and governance only.

Is it limited to banks?

No. The methods apply to payments, fintech, e-commerce, platforms, telecommunications, government services, and other digital organisations.

What will I produce?

You will complete a Digital Fraud Risk and Control Playbook covering journeys, threats, identity, signals, detection, cases, redress, metrics, and improvement.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-75 of 75 events

Location	Dates	Duration	Mode	Price
Prague	Week 33, 2027 16 – 20 August 2027	1 Week	Onsite	€6,000
Frankfurt	Week 33, 2027 16 – 20 August 2027	1 Week	Onsite	€5,700
Tbilisi	Week 34, 2027 23 – 27 August 2027	1 Week	Onsite	€5,000
Chicago	Week 34, 2027 29 August – 2 September 2027	1 Week	Onsite	€12,000
Dubai	Week 35, 2027 30 August – 3 September 2027	1 Week	Onsite	€4,500
London	Week 36, 2027 6 – 10 September 2027	1 Week	Onsite	€5,700
Baku	Week 37, 2027 13 – 17 September 2027	1 Week	Onsite	€5,000
Paris	Week 38, 2027 20 – 24 September 2027	1 Week	Onsite	€5,700
Abu Dhabi	Week 39, 2027 27 September – 1 October 2027	1 Week	Onsite	€4,700
Cairo	Week 40, 2027 4 – 8 October 2027	1 Week	Onsite	€4,100
Seoul	Week 40, 2027 4 – 8 October 2027	1 Week	Onsite	€10,000
Bali	Week 40, 2027 10 – 14 October 2027	1 Week	Onsite	€5,700
Rome	Week 42, 2027 18 – 22 October 2027	1 Week	Onsite	€5,700
Tokyo	Week 43, 2027 25 – 29 October 2027	1 Week	Onsite	€10,000
Accra	Week 43, 2027 31 October – 4 November 2027	1 Week	Onsite	€4,100

Frequently asked questions

What does this course cover?

Overview Digital Fraud Risk Management and Controls Course is a one-week advanced programme for professionals responsible for fraud exposure across digital identities, customer journeys, accounts, devices, online payments, platforms, and connected services. Participants connect fraud typologies with threat intelligence, journey mapping, identity proofing,…

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.

Digital Fraud Risk Management and Controls Course