Viewing balances, adding recipients and transferring funds carry different loss scenarios. Android and iOS policies may require different evidence according to transaction impact.
Evaluation approach
RASP supplies signs of device interference; the bank's server evaluates user authority, transaction context and verification evidence. Bind approval to critical fields such as recipient and amount.
Application example
Low-risk viewing may remain available while a high-risk transfer requires fresh evidence and additional verification. If verification is unavailable, defer the operation and query its server status when the application returns to avoid duplicates.
Limits and considerations
A clean device signal does not establish that the user is not being defrauded. Social engineering, recovery and server authorization require separate defenses.
Checks and decisions
- Classify transactions by loss impact
- Bind approval to amount and recipient
- Track pending operations during outages
Measure prevented unauthorized transactions, false blocks and safe completion together, rather than counting blocked devices alone.
Sources
The primary references above provide the technical basis. Example workflows and evaluation suggestions are this publication’s explanations, not independent test results for a particular product.