TL;DR: Mobile retail apps are adding payments, wallets, loyalty and KYC-like features faster than many retailers can govern the resulting fraud, privacy and compliance exposure, according to Guardsquare. The security model now has to treat app integrity, backend API trust and customer identity abuse as linked risks, not separate problems.
NHIMG editorial — based on content published by Guardsquare: Retail Risks Rise as Customers go “Mobile First”
By the numbers:
- Mobile e-commerce app downloads increased by 5.6% in 2024, with Latin America, Southeast Asia and Japan seeing increases above 20%.
- Mobile wallets now power 35% of all online transactions and 21% of in-store transactions, representing a 30% increase since 2022.
- Loyalty fraud now accounts for 31% of all fraud attempts against online merchants.
Questions worth separating out
Q: What breaks when mobile retail apps do not verify app authenticity?
A: When app authenticity is weak, attackers can clone, repackage or instrument the mobile app to steal credentials, alter transactions or abuse rewards flows without needing to defeat the backend directly.
Q: Why do mobile retail apps attract so much fraud activity?
A: They combine customer identity, payment access, and rewards value in a single interface while often running on untrusted devices.
Q: How can security teams tell whether loyalty abuse is becoming a real risk?
A: Watch for unusual signup bursts, repeated referral patterns, rapid reward redemption, multiple identities tied to one device, and inconsistencies between app integrity signals and transaction behaviour.
Practitioner guidance
- Map mobile retail apps to transaction trust tiers Classify each app based on whether it handles payments, loyalty, KYC data or account management, then assign control requirements for attestation, fraud detection and backend validation.
- Add app integrity checks before backend trust decisions Require attestation, clone detection and server-side validation before the API accepts high-risk actions such as account changes, wallet operations or reward redemption.
- Join fraud telemetry with identity signals Correlate device reputation, signup velocity, reward redemption patterns and credential reuse so fraud teams can see whether a single identity is driving multiple abuse paths.
What's in the full article
Guardsquare's full article covers the operational detail this post intentionally leaves for the source:
- Specific mobile app hardening and RASP methods used to resist reverse engineering and cloning
- How app attestation supports backend trust decisions for payment and reward flows
- Operational examples of mobile-specific MAST testing across the SDLC
- Threat monitoring details for spotting suspicious users, devices and fraud patterns
👉 Read Guardsquare's analysis of mobile retail fraud, app integrity and compliance risk →
Mobile retail app fraud and data exposure: are controls keeping up?
Explore further
Mobile retail security is now an identity and fraud governance problem, not just an app hardening problem. Once a retail app handles payment credentials, rewards and customer profiling, security teams are governing identity assurance as much as code integrity. That changes ownership across IAM, fraud, appsec and compliance. Practitioners should treat mobile retail apps as trusted transaction systems that require explicit assurance boundaries.
A question worth separating out:
Q: Who is accountable when retail customer data is exposed through weak access control?
A: Accountability sits with the organisation that defined the access model, not with the automation itself. If customer data can be reached through persistent admin rights, weak third-party access, or poor offboarding, the failure is governance, and the remedy has to start with identity ownership and privilege boundaries.
👉 Read our full editorial: Mobile retail apps are becoming financial systems without the controls