Blog
Insights on fraud prevention, banking technology, the Southeast Asian financial landscape, and founder stories.
No articles in this category yet.
Introducing AI-Powered Fraud Investigation
LLM-generated summaries and conversational Q&A turn fraud investigation from hours of log-reading into instant, grounded answers.
Why We Built Agent-Native Fraud Detection
RTD FDE ships with a native MCP server — 4 tools let AI agents evaluate risk, submit outcomes, and label fraud with zero integration code.
Your AI Coding Agent Is Only as Good as Your Tests
We had 1,583 unit tests and zero integration tests. AI made coding 10x faster but our testing pyramid was upside down.
Is Your Fraud Engine Agent-Ready?
AI agents are creating a new layer between fraud analysts and detection engines. Banks that invest in agent-friendly APIs now will have a 2-3 year head start.
Malaysia’s New Payment Tech Rules: Why Banks Need a Real-Time Fraud Decision Engine Now
BNM’s March 2026 policy gives payment providers 12 months to implement real-time fraud detection, CISO appointments, and board-level cyber oversight.
Why Southeast Asia’s Tier-2/3 Banks Need a New Fraud Detection Pricing Model
Enterprise fraud vendors charge $250K+/year with 12-18 month deployments. SEA’s 30+ digital banks processing billions of QR payments need per-transaction, cloud-native alternatives.
Self-Improving Fraud Engines: How Autonomous Optimization Loops Sharpen Detection
How RTD applies autonomous AI research patterns to continuously optimize fraud detection rules, thresholds, and ML models — no manual tuning required.
Why Most SEA Banks Can't Use ML for Fraud — and Why That's Okay (For Now)
Every major fraud vendor sells hybrid ML+rules scoring. But for SEA's tier 2/3 banks, the prerequisites for ML don't exist yet — and a rules-first strategy is the smarter starting point.
Banking vs E-Commerce Fraud Engines: Two Different Problems Entirely
Banking and e-commerce fraud engines solve fundamentally different problems. Understanding why matters when choosing — or building — the right one.
Why Your Fraud Engine Needs 4 Decision Outcomes, Not 3
Most fraud engines use 3 outcomes. Separating step-up authentication from manual review reduces friction, satisfies regulators, and cuts false positives.
Real-Time Payment Rails Are Creating New Fraud Vectors in SEA
Instant payment systems like PromptPay, PayNow, and QRIS are fueling faster fraud. Here's what banks need to know about protecting real-time rails.
When AI Agents Start Paying: What Banks Must Prepare For
Agentic payments move fraud from “card-not-present” to “person-not-present.” The new fraud vectors, why traditional detection breaks, and what SEA banks should do now.
Zero-Loss Fraud Alerting: The Transactional Outbox Pattern
Dropped fraud alerts aren’t a scaling problem — they’re an architecture problem. How the transactional outbox pattern delivers zero-loss event processing.
Beyond Binary: How Graduated Risk Scoring Catches More Fraud
Binary fraud rules miss nuance. Graduated scoring bands measure risk as a spectrum — reducing false positives while catching sophisticated threats.
Why One-Person Companies Are the Future of Work
AI is shifting business from headcount to leverage. How solo founders are outperforming teams — and the 2026 playbook for those who orchestrate instead of hire.
Jason Fried: The Founder Who Proved You Don’t Need to Scale to Succeed
How the co-founder of 37signals built a 27-year profitable company with 62 employees, no venture capital, and a radical commitment to simplicity.
48% Within Minutes: How Scams Actually Unfold Across Southeast Asia
GASA data reveals two-thirds of SEA scams complete within 24 hours. We break down the speed, platforms, and country-level patterns that fraud teams need to understand.
The Fraud Detection Buyer’s Guide for Southeast Asian Banks
A practical framework for evaluating fraud detection vendors — covering market segments, must-have capabilities, and common pitfalls to avoid.
US$23.6 Billion Lost to Scams in Southeast Asia — What It Means for Banks
The GASA 2025 State of Scams report puts a number on what fraud teams already feel: scam losses across ASEAN have reached crisis scale.
Fraud Trends in Southeast Asia: What Banks Need to Know in 2026
Digital payment volumes across ASEAN are surging, and fraud is evolving just as fast. Here are the key trends shaping fraud prevention strategy for SEA banks this year.
On-Premise vs. Cloud Fraud Detection: Making the Right Choice for Your Bank
The deployment model for your fraud detection system has implications far beyond IT. We break down the trade-offs that matter most for regulated financial institutions.
Get fraud insights delivered
Concise updates on fraud prevention, banking technology, and the Southeast Asian market. No spam.