Fraud Prevention for Philippine Banks Stop Fraud Now,
Build Trust Forever

Fraud has gone digital.
So has your defense.

TrustVision Fraud Prevention is AI fraud detection software for Philippine banks, e-wallets and lenders. It catches forged and tampered IDs, synthetic identities, deepfakes and repeat fraudsters at onboarding and across the customer lifecycle, with real-time risk monitoring and government ID validation, so every account you open belongs to a real, unique person.

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Zero-Delay Defense

Proprietary AI for zero-delay, regionally smart defense

Plug-and-Play Protection

Effortless, plug-and-play integration with zero technical friction

Always Ahead of the Curve

Constantly updated AI stays ahead of evolving fraud trends

ID Tampering Check

Instant, Multi-Layered Tampering Detection. Verifies ID authenticity (ID Liveness) by analyzing text, national emblems, and digital security features to instantly identify forgeries.

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Government Validation

Real-Time Validation. Fortify compliance and risk management by automatically validating ID authenticity against official government databases using accurate OCR and QR code reading.

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Face Retrieval

Proactive Facial Retrieval. Builds a secure, searchable database for rapid, high-score matching, providing vital intelligence to instantly spot and prevent recurring fraud attempts.

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Identity fraud protection

Stop the fake before it becomes a customer.

Most fraud losses start with an account that should never have been opened. TrustVision checks the document, the person and the history behind them in the same onboarding call, so identity fraud is stopped at the door instead of discovered in collections.

Forged and tampered IDs

Multi-layer ID tampering detection reads text, national emblems, holograms and digital security features to catch edited, replayed or fabricated documents.

Synthetic identities

Government database validation, OCR and QR-code reading confirm the ID belongs to a real, registered person, not a stitched-together profile.

Deepfakes and spoofing

ISO/IEC 30107-certified liveness detection defeats photos, masks, screen replays and AI-generated faces during the facial capture.

Repeat offenders

Face retrieval matches every new applicant against a secure database of known fraud attempts, so the same face cannot open a second account under a new name.

Real-time risk monitoring

Fraud detection that keeps watching after day one.

Onboarding is the first line, not the only one. TrustVision keeps scoring risk as customers log in, transact and change details, and surfaces the anomalies your fraud and risk management teams need to act on.

Device and behaviour signals

Device fingerprinting and behavioural anomaly detection flag account takeovers, bot activity and mule-account patterns as they happen.

Risk scores, not just alerts

Each event gets a risk score your rules engine can act on automatically: approve, step up to face authentication, or hold for review.

Case management

Suspicious activity lands in a review queue with the evidence trail, so investigators resolve cases faster and examiners can follow every decision.

Constantly retrained

Models are updated as new fraud trends appear across 200+ institutions in the region, so your defence does not age.

Cybersecurity for fintech and e-wallets

Built for the institutions fraudsters target most.

Digital banks, e-wallets and online lenders in the Philippines onboard at volume and move money in seconds, which makes them the first target for identity fraud, account takeover and money-mule networks. TrustVision fraud prevention software is designed for that reality: API-first, real time, and proven with BSP- and SEC-supervised institutions.

It is also how you get ahead of the Anti-Financial Account Scamming Act (AFASA, RA 12010), which penalises money muling and social-engineering scams and requires BSP-supervised institutions to strengthen fraud management and customer authentication. TrustVision fraud prevention, together with face-based transaction verification, gives you the controls the law now expects, with the audit trail to show for it.

AFASA What AFASA-compliant authentication actually looks like in production Read the article → AFASA AFASA compliance is not the same as AFASA readiness Read the article → Money mules The Pulse of the Mule: compliance vs. the AFASA era Read the article → Deepfakes The Deepfake Dilemma: why seeing is no longer believing Read the article → Cost of fraud What your P&L doesn't tell you about fraud Read the article → Industry Fighting fraud together: why collaboration is our best defense Read the article →

Frequently Asked Questions

Fraud prevention for Philippine banks, explained

01 What is AI fraud detection?

AI fraud detection uses machine learning models to spot patterns that indicate fraud, such as a tampered ID, a face that has appeared under another name, or a device behaving like a bot, in real time and at a scale no manual review team can match. TrustVision applies it at onboarding and across the customer lifecycle.

02 How does TrustVision detect deepfakes?

Liveness detection certified to ISO/IEC 30107 checks that the face in front of the camera is a live person and not a photo, mask, screen replay or AI-generated video, while ID tampering checks and government database validation confirm the document itself is genuine.

03 Does this help with AFASA compliance?

Yes. The Anti-Financial Account Scamming Act (RA 12010) requires BSP-supervised institutions to strengthen fraud management and customer authentication. TrustVision’s fraud prevention, face retrieval and biometric transaction verification are designed to meet those expectations and to document every decision.

04 How is it different from Customer Onboarding?

Customer Onboarding verifies a new customer’s identity (digital KYC). Fraud Prevention adds the fraud-specific layers on top: tampering detection, face retrieval against known fraud attempts, device and behaviour monitoring, and case management. Most institutions run both from the same TrustVision API.

More answers in our FAQ, or see digital KYC onboarding and transaction verification, the other two layers of TrustVision.