Threat Intelligence14 min readApril 18, 2026

Adversary Simulation for Fintech: Mapping MITRE ATT&CK to Payment Flows

Threat hunting in financial services requires understanding both attacker TTPs and the specific data flows of payment architectures. This post walks through a structured threat hunt targeting a BNPL platform's card processing pipeline.

JK

James Kowalski

Threat Intelligence Lead

Threat hunting in fintech is shaped by the specific data flows, regulatory constraints, and attacker economics of financial services. A BNPL platform's card processing pipeline presents a fundamentally different attack surface than an enterprise SaaS product.

Why Standard Threat Hunts Miss Fintech-Specific TTPs

Most threat hunting playbooks are built around enterprise IT attack patterns: credential theft, lateral movement, ransomware deployment. In payment processing environments, the high-value targets are different: card data in transit, authorization bypass, and account takeover at scale.

Mapping ATT&CK to a BNPL Payment Flow

Start by decomposing your payment flow into discrete stages: card data entry, tokenization, authorization request, fraud scoring, and settlement. For each stage, identify the relevant ATT&CK techniques an adversary with financial motivation would employ.

MITRE ATT&CKThreat HuntingFintechBNPLPayment Security

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