AI-Powered Fraud Detection and Prevention: A Complete Guide
Course Overview
With rising digital transactions and complex cyber threats, organizations require **smarter and faster fraud prevention systems**. Artificial Intelligence (AI) and Machine Learning (ML) now play a vital role in detecting anomalies, preventing financial crimes, and ensuring secure digital operations.
**AI-Powered Fraud Detection and Prevention: A Complete Guide** provides participants with deep insights into **fraud types, threat patterns, ML-based detection models, risk scoring, behavioural analytics, and real-time prevention strategies** used across banking, e-commerce, telecom, insurance, and digital platforms.
This programme combines **technical knowledge, practical tools, and hands-on case studies**, enabling participants to build and deploy advanced AI-driven fraud detection systems.
Course Objectives
Participants will be able to:
1. Understand fraud ecosystems, patterns, and risk indicators.
2. Explore machine learning models for fraud detection.
3. Implement behavioural analytics and anomaly detection systems.
4. Apply AI tools for identity verification, KYC, and transaction monitoring.
5. Build strategies for real-time fraud prevention and incident response.
6. Assess compliance, regulatory needs, and data governance in fraud analytics.
Learning Outcomes
Participants will gain the ability to:
* Build ML-based fraud prediction and scoring models.
* Detect anomalous patterns using supervised and unsupervised learning.
* Apply AI tools for fraud investigation and KYC automation.
* Implement strong fraud controls in financial and digital systems.
* Evaluate fraud cases using data-driven methods.
* Develop complete fraud prevention frameworks for organizations.
Who Should Attend
* Banking, FinTech & Financial Crime Teams
* Fraud Analysts & Risk Professionals
* Cybersecurity Specialists
* Data Scientists & AI Engineers
* E-commerce, Insurance & Telecom Professionals
* Students and researchers in cybersecurity, data science, and finance
Course Outline (5 Days)
Day 1 – Fraud Fundamentals & Digital Threat Landscape
* Types of fraud: financial, identity-based, cyber & transactional
* Fraud lifecycle: detection → investigation → prevention
* Risk indicators & fraud patterns across industries
* Hands-on: Analysing real-world fraud case studies
Day 2 – Machine Learning for Fraud Detection
* ML models: logistic regression, decision trees, random forests, XGBoost
* Supervised vs unsupervised learning in fraud analytics
* Feature engineering for fraud datasets
* Hands-on: Building a basic ML fraud detection pipeline
Day 3 – Behavioural Analytics & Anomaly Detection
* User behaviour modelling (UBA)
* Real-time anomaly detection: clustering, autoencoders, isolation forests
* Device fingerprinting & behavioural biometrics
* Hands-on: Detecting anomalies using Python
Day 4 – Real-Time Fraud Prevention & AI Tools
* AI-powered KYC, eKYC, identity verification, OCR
* Transaction monitoring & risk scoring engines
* Fraud rules engines and automated alerts
* Hands-on: Designing a real-time fraud prevention framework
Day 5 – Regulations, Governance & Future Trends
* Regulatory compliance: AML, CDD, GDPR, PCI-DSS
* Fraud governance structures and ethical AI considerations
* Future of fraud prevention: Generative AI, deepfake detection, blockchain AML
* Action Plan: Build a complete AI fraud detection strategy for an organization
Certification
Participants will be awarded the
**Certificate in AI-Powered Fraud Detection and Prevention**
from **KE Leaders Training Centre, London**, showcasing their expertise in AI-driven fraud analytics, detection techniques, and prevention frameworks.
Key Benefits
✔ Understand fraud risks and digital threat patterns
✔ Build ML and AI models for fraud detection
✔ Apply behavioural and anomaly detection methods
✔ Strengthen KYC, identity verification & transaction monitoring
✔ Ensure compliance with global fraud and AML regulations
✔ Gain hands-on experience with real-world AI fraud tools
Contact Info:
Enquiry at : admin@keleaders.com
Whatsapp: 0044 790 125 9494
For more details visit our website : www.keleaders.com
