As e-wallets become more widely used across the Philippines, banks and fintech platforms are facing greater pressure to detect scams faster, protect digital accounts, and strengthen user trust.
The shift to digital payments has already become significant.
According to the Bangko Sentral ng Pilipinas (BSP)’s 2024 Report on E-Payments Measurement, digital retail payments accounted for 57.4% of total monthly retail payment volume and 59.0% of total retail payment value in the country.
The BSP said merchant payments, person-to-person transfers, and supplier payments were among the major contributors to digital payment growth, collectively accounting for 93.2% of total digital payment volume.
This rapid adoption has made e-wallets and mobile banking apps more central to everyday transactions. However, it has also expanded the attack surface for fraudsters using phishing, social engineering, account takeovers, fake links, spoofed messages, and mule accounts.
Fraud risks are moving in real time
As more Filipinos transact through digital channels, financial fraud has become faster and more coordinated.
Scammers can now move stolen funds across accounts within minutes, often before a victim can report the incident. Some schemes involve fake customer service pages or malicious links that trick users into giving away login credentials, one-time passwords, or other sensitive information.
Cybercrime complaints have also increased in the country. The Cybercrime Investigation and Coordinating Center recorded 10,004 cybercrime complaints in 2024, more than triple the 3,317 complaints reported in 2023, according to a report by ABS-CBN News.
This trend highlights the need for fraud prevention systems that can act before suspicious transactions are completed, rather than relying only on manual investigation after losses have already occurred.
BSP strengthens real-time fraud monitoring rules
IMAGE CREDIT: BSP
The regulatory response is also shifting toward real-time protection.
In 2025, the BSP issued Circular No. 1213, which amended its information technology risk management rules to implement provisions of the Anti-Financial Account Scamming Act.
The circular defines Fraud Management Systems as automated and real-time monitoring and detection systems designed to identify and block disputed, suspicious, or similar online transactions.
It also requires covered BSP-supervised financial institutions to implement real-time fraud monitoring and detection systems for suspicious or fraudulent online transactions.
Among the mechanisms identified are transaction velocity checks, geolocation monitoring, blacklist screening, device and account change monitoring, and behavioral anomaly detection.
For banks, e-wallet providers, and payment operators, this means fraud management is becoming a core layer of digital finance infrastructure.
Platforms turn to AI and behavioral analytics
The challenge for fintech platforms is that modern fraud does not always appear unusual through basic transaction checks.
A scam-related transfer may come from a user’s own device, fall within normal transaction limits, or appear to be a regular fund transfer. This makes it harder for traditional rule-based monitoring systems to detect suspicious activity.
Behavioral analytics can help address this by analyzing how a user normally transacts. This may include login time, device behavior, transfer frequency, typical recipients, spending patterns, and location signals.
If a transaction suddenly deviates from the user’s normal behavior, the platform can trigger additional verification, temporarily hold the transaction, or escalate it for review.
In its discussion of the Philippines’ real-time fraud mandate, Clari5 said compliance will require banks and e-wallet providers to move toward enterprise-grade real-time decision engines, machine learning-powered behavioral analytics, cross-channel integration, and tighter links between fraud and anti-money laundering systems.
This is becoming more important as scams increasingly involve multiple channels, fake identities, mule accounts, and rapid fund movement across platforms.
KYC controls are becoming more continuous
Know-Your-Customer controls are also becoming more important in the fight against financial fraud.
For e-wallet providers, KYC helps verify users during onboarding through identity document checks, facial verification, mobile number validation, and other screening methods.
However, fraud prevention now requires more than a one-time verification process. Platforms also need to monitor whether an account’s activity remains consistent with its expected profile after onboarding.
For example, an account that suddenly receives funds from multiple unrelated users and quickly transfers the money elsewhere may require additional review. These patterns may point to mule account activity, where accounts are used to receive and move scam proceeds.
Continuous monitoring can help fintech platforms detect suspicious account behavior earlier and support stronger anti-money laundering controls.
The next test is trust
As e-wallet adoption grows, user trust will become just as important as convenience.
Consumers may be more willing to use digital wallets if they believe their accounts are protected and that suspicious transactions can be detected quickly. On the other hand, repeated scam experiences, slow dispute handling, or weak account safeguards can discourage users from relying on digital financial services.
The BSP has also urged consumers to practice cyber hygiene through its CPR framework, which encourages users to check the legitimacy of messages and websites, protect personal and financial information, and report suspicious transactions to their financial institution or the BSP, according to the Philippine Information Agency.
For fintech platforms, fraud prevention is no longer only a compliance requirement. It is now part of customer experience, operational resilience, and long-term digital payment adoption.
As e-wallets become more dominant in the Philippines, banks and fintech firms will need to keep improving real-time fraud monitoring, AI-driven detection, behavioral analytics, and KYC controls to protect users while keeping digital payments easy to use.
