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Fintech Insights for Philippine Banks and Lenders

Practical perspectives on fraud, onboarding, compliance, and AI-driven financial services.

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Woman at a payment counter handing over papers, the everyday Filipino borrower behind rising consumer loan defaults

Why Loan Defaults in the Philippines Are Still Rising, and What Your Credit Model Is Missing

Philippine consumer loan defaults are climbing. The numbers behind that trend raise a harder question than most lenders are asking. This piece breaks ...

8 min · 01 Jun 2026
Bank engineering team working through AFASA-compliant authentication in a Manila office

AFASA-Compliant Authentication: What Works in Production

After the first article on compliance versus readiness, the most common question our team gets is the same one: fine, but what does this actually ...

5 min · 04 May 2026
Bank compliance colleagues reviewing AFASA requirements together on a laptop

AFASA Compliance Is the Floor: Lessons From Vietnam

After years of KYC deployments across the Philippines, and watching Vietnam navigate the same shift, here is what our team keeps seeing on the ...

4 min · 07 Apr 2026
Filipino woman paying with her card on her phone at home, approved by face instead of an SMS OTP

The End of the OTP: Why Your Face Is Safer Under AFASA

The OTP was a sharable secret that left Filipinos vulnerable. Explore how AFASA and the shift to biometric liveness are removing the tax of fear from ...

5 min · 07 Apr 2026
Money mule network moving scam proceeds between bank accounts

The Pulse of the Mule: Money Mule Detection in the Philippines

Behind every high-speed digital heist is a human bottleneck—the money mule—and the ₱5.82 billion question is how to stop them before the funds vanish.

5 min · 30 Jan 2026
man in a cap and face mask looking at his phone, face hidden

The Digital Integrity Gap: Synthetic Identity Fraud in the Philippines

When synthetic documents and AI-generated personas can bypass standard gates, the only remaining metric of truth is the real-time interaction between ...

5 min · 30 Jan 2026
Man looking at the screen with multiple images

The Deepfake Dilemma: Why Liveness Detection Decides Who Gets In

In an era of industrialized deception, your biggest risk isn't a bad credit score—it’s a flawless face that doesn’t exist.

4 min · 30 Jan 2026
Business professional in a suit reviewing documents on a tablet at a desk

Fighting Fraud Together: Fraud Intelligence Sharing in the Philippines

Scam networks share tools, targets and mule accounts across institutions. Here is why Philippine banks and fintechs now have to share fraud ...

4 min · 30 Jan 2026
Developer working at a desk with code on a monitor and laptop

The Friction Tax: Transaction Verification That Keeps Customers

The harder you make it for a fraudster to get in, the more likely you are to lock out the very customers who keep your lights on.

5 min · 30 Jan 2026
Analyst at his desk reviewing a printed chart beside a computer

The Real Cost of Fraud in the Philippines: What Your P&L Misses

In an era where "Agentic AI" can manufacture deception at scale, the true cost of fraud is no longer just a line item on a balance sheet—it is a ...

5 min · 30 Jan 2026