Try “attestation”, “Frida”, “OWASP”, or “false positives”.
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Industry Use Cases
Risk-based Mobile RASP patterns for banking, fintech, payments, crypto, health, insurance, government, retail, gaming, telecom, workforce, and media applications.
12 focused guides3 cornerstone topicsPrimary sources first
Working position
What this section is built to answer
Industry labels do not determine a Mobile RASP design; assets, transactions, adversaries, distribution, regulatory duties, and user tolerance do. The useful question is which mobile-controlled step can cause material loss if the client is observed or modified.
Identify high-value actions and regulated data flows
Choose responses that preserve essential access and safety
Integrate runtime evidence with sector-specific fraud and incident processes
Banking apps expose authentication, beneficiary management, transfers, card controls, personal data, and session material to threats that include overlays, instrumentation, repackaging, credential theft, and automated abuse.
Payment applications may handle acceptance, wallets, credentials, cryptographic keys, transaction confirmation, or payment data on consumer devices that are outside merchant or issuer physical control.
Healthcare apps can expose clinical records, identity, prescriptions, communications, medical-device interactions, and urgent access workflows, making confidentiality important without sacrificing safety or availability.
Insurance apps combine identity, policy data, payments, claims evidence, document capture, health or vehicle information, and fraud-prone workflows that may be manipulated at the client.
Government mobile services may expose identity, benefits, tax, licensing, case data, credentials, and essential access to users with wide device diversity and differing accessibility needs.
Retail apps face credential stuffing, loyalty theft, promotion abuse, scraping, gift-card fraud, payment manipulation, counterfeit builds, and bots operating through both user interfaces and direct APIs.
Games face memory editing, function hooks, speed manipulation, asset extraction, automation, counterfeit clients, in-app purchase abuse, and protocol replay, often at very high event volume.
Telecom self-service apps control identity, SIM and eSIM changes, number porting, billing, call settings, account recovery, and personal data, making them attractive for takeover and social engineering.
Workforce apps access corporate identity, messages, files, approvals, administrative functions, and regulated data across managed, BYOD, and contractor devices.
Media apps use DRM, tokens, entitlements, offline licenses, playback logic, regional policy, advertising, and subscription state that attackers may extract, hook, replay, or automate.