How fraud and risk teams operate in practice. Identity verification, behavioral scoring, real-time decisioning, the architecture of a fraud stack, and where AI has and has not changed the game.
Fraud and Risk Architecture
How financial services actually fight fraud. From identity verification to real-time scoring to the AI arms race.
Syllabus
- 01The Fraud Landscape
Map the modern fraud landscape. Attack vectors, fraud typologies, the economics of financial crime, and why traditional defences are failing.
- 02Identity Verification Infrastructure
How identity verification systems work at scale. KYC pipelines, document authentication, biometric matching, and the infrastructure behind onboarding decisions.
- 03Transaction-Level Fraud Detection
Real-time fraud scoring at the transaction level. Rule engines, machine learning models, behavioural analytics, and the signals that separate legitimate payments from fraud.
- 04Merchant Risk and Underwriting
Merchant risk assessment and underwriting decisions. How acquirers evaluate merchants, monitor ongoing risk, and manage portfolio exposure across industries.
- 05Compliance and Regulatory Architecture
The compliance infrastructure behind payments. AML programmes, sanctions screening, regulatory reporting, and how compliance architecture scales across jurisdictions.
- 06The AI Arms Race
How AI is transforming both fraud attacks and defences. Deepfakes, synthetic identity, adversarial ML, and the next generation of AI-powered fraud prevention systems.