Tag: FraudPrevention

CBA probes $1b in suspected fraudulent home loans, calls in police

CBA’s $1 Billion Fraud Probe Exposes AI Driven Document Manipulation in Australian Banking 

On the 27th of February 2026, Commonwealth Bank reported itself to police and the corporate regulator over fears that about $1 billion in home loans (AFR, 2026). Banks may have obtained these loan originations using fraudulent documents, suspect deposits and shell companies. The review followed whistleblower complaints, scrutiny of broker introduced mortgages and heightened concern after the exposure...

Sayem Shakir

27/02/2026

DoxAI Asset Verification |

PPSR Checks for Faster and Safer Asset Finance Decisions

PPSR and REVS Checks in Australia – A Lender Focused Guide to Safer Faster Asset Verification In asset finance, every lending decision carries material risk. A single encumbered stolen or written off vehicle can expose lenders to financial loss recovery challenges and regulatory scrutiny. This is why ppsr checks, ppsr car check, and REVS checks...

Sayem Shakir

21/01/2026

Australia’s 2026 Fraud Reality: Billions Lost and the AI Defence That Finally Works

AI Fraud Prevention in Australia: How Businesses Can Stay Ahead in 2026

Fraud is no longer a compliance box to tick. It has become a national crisis threatening trust, reputation, and business continuity. In 2025 alone, Australians lost more than $2.03 billion to scams and document-based fraud (Security Brief, 2025). Over 70,000 government-issued IDs were reported stolen or misused (Cyber Daily, 2025), and digital document forgeries surged by 244 per cent year-on-year (IDM, 2025).  This...

Sayem Shakir

14/01/2026

GSI GOLD STANDARD AI 2026 WINNER

Think. Create. Automate.

Reduce operational costs, strengthen compliance, and boost workforce efficiency with ready-to-use AI solutions.

DoxAI
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.