Designed to Scale

The secret rulebook behind every tap-and-go payment (Part 2)

Why “scope” can make or break your PCI DSS compliance

12 hrs ago • 

Ryan Aminollahi

The secret rulebook behind every tap-and-go payment (Part 1)

Inside PCI DSS, the quiet standard stopping your card data from leaking every time you pay online or in-store

Nov 16 • 

Ryan Aminollahi

PCI DSS 4.0 Rules: What They Mean for Your Business

The world’s toughest payment security standard just got tougher; here’s what’s changed and why it matters.

Nov 9 • 

Ryan Aminollahi

October 2025

Spot the Scam: 6 Red Flags of Fraud You Can’t Ignore

Simple ways to protect yourself and your business from clever fraud traps.

Oct 26 • 

Ryan Aminollahi

How to Build Real-Time Fraud Detection AI from Scratch

A practical, end-to-end guide to designing and deploying fraud detection systems that actually work

Oct 12 • 

Ryan Aminollahi

September 2025

Digital Forensics for Fraud: Techniques That Work

How investigators recover evidence, expose schemes, and keep cases court-ready.

Sep 28 • 

Ryan Aminollahi

Fraud Detection with Machine Learning: The Practical Playbook

From rules to real-time models that cut false positives and surface new scams.

Sep 21 • 

Ryan Aminollahi

August 2025

Anonymised Production Data for Safer, Faster Testing

A practical, risk-based playbook for building realistic non-prod datasets that respect privacy and speed up delivery

Aug 31 • 

Ryan Aminollahi

Databricks vs Snowflake: Aussie CTO Decision Matrix

Match your team’s skills, goals and data maturity with the right platform

Aug 24 • 

Ryan Aminollahi

Power BI Costing in Australia: Licence Maths & Hidden Extras

Break Down the numbers, boost your ROI, and reveal what’s really behind the price tag

Aug 17 • 

Ryan Aminollahi

Data Mesh in Plain English: A Finance & Telco Playbook

How telecom and banking teams create scalable data products, avoid pitfalls & drive ROI

Aug 10 • 

Ryan Aminollahi

Stop the Data Headaches: A Simple Guide to Data Quality That Works

How Aussie tech teams can catch issues early and avoid late-night data drama.

Aug 3 • 

Ryan Aminollahi