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Leading the fight against scammers, supporting organisations globally in detecting and disrupting scams, including those preparing for regulatory frameworks such as Australia's Scams Prevention Framework
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Insights & Intelligence

We provide research and analysis on scam prevention, digital impersonation, and emerging regulatory frameworks such as Australia's Scam Prevention Framework (SPF).

Featured

Conceptual illustration of a closed-loop scam response workflow from verification to fast takedown

From Scam Verification to Fast Takedown: Building a Closed-Loop Scam Response System

Insights | Australia SPF Series  ·  Published March 25, 2026

How Scams.Report and NothingPhishy turn public scam signals into verification, evidence, and fast multi-channel takedown.

Abstract illustration representing the Scams Prevention Framework and cross-sector scam prevention ecosystem

What Is Australia's Scams Prevention Framework (SPF)

Insights | Australia SPF Series  ·  Published March 10, 2026

The Scams Prevention Framework (SPF) introduces a coordinated regulatory approach to reduce scam harm across Australia's digital and financial ecosystem.

Diagram showing how scam losses can fall on banks even when scammers impersonate other brands

What the Scams Prevention Framework Means for Banks and Financial Institutions

Insights | Australia SPF Series  ·  Published March 12, 2026

How SPF is changing the expectations placed on financial institutions

Diagram showing the Actionable Scam Intelligence model including campaign, infrastructure and monetisation signals

Why the Scams Prevention Framework Requires a New Category: Actionable Scam Intelligence

Insights | Australia SPF Series  ·  Published March 15, 2026

Moving beyond fraud detection toward intelligence-driven scam prevention

Diagram showing capability layers required for organisations preparing for the Scams Prevention Framework

Preparing for the Scams Prevention Framework: A Capability Checklist for Banks

Insights | Australia SPF Series  ·  Published March 18, 2026

Understanding operational readiness for the new scam prevention landscape

Illustration of explainable scam verification and evidence-based decision making

Why Explainable Scam Verification Matters

Insights | Australia SPF Series  ·  Published March 27, 2026

Explainable reasoning turns weak scam signals into actionable cases for escalation, reporting, and fast takedown.

Illustration of scam reporting flowing into verification and disruption stages

Why Scam Reporting Alone Fails

Insights | Australia SPF Series  ·  Published March 26, 2026

Reporting creates visibility, but only verification and disruption reduce attacker capability and scam exposure.

Conceptual illustration of a closed-loop scam response workflow from verification to fast takedown

From Scam Verification to Fast Takedown: Building a Closed-Loop Scam Response System

Insights | Australia SPF Series  ·  Published March 25, 2026

How Scams.Report and NothingPhishy turn public scam signals into verification, evidence, and fast multi-channel takedown.

Abstract illustration representing the Scams Prevention Framework and cross-sector scam prevention ecosystem

What Is Australia's Scams Prevention Framework (SPF)

Insights | Australia SPF Series  ·  Published March 10, 2026

The Scams Prevention Framework (SPF) introduces a coordinated regulatory approach to reduce scam harm across Australia's digital and financial ecosystem.

Diagram showing how scam losses can fall on banks even when scammers impersonate other brands

What the Scams Prevention Framework Means for Banks and Financial Institutions

Insights | Australia SPF Series  ·  Published March 12, 2026

How SPF is changing the expectations placed on financial institutions

Diagram showing the Actionable Scam Intelligence model including campaign, infrastructure and monetisation signals

Why the Scams Prevention Framework Requires a New Category: Actionable Scam Intelligence

Insights | Australia SPF Series  ·  Published March 15, 2026

Moving beyond fraud detection toward intelligence-driven scam prevention

Diagram showing capability layers required for organisations preparing for the Scams Prevention Framework

Preparing for the Scams Prevention Framework: A Capability Checklist for Banks

Insights | Australia SPF Series  ·  Published March 18, 2026

Understanding operational readiness for the new scam prevention landscape

Illustration of explainable scam verification and evidence-based decision making

Why Explainable Scam Verification Matters

Insights | Australia SPF Series  ·  Published March 27, 2026

Explainable reasoning turns weak scam signals into actionable cases for escalation, reporting, and fast takedown.

Illustration of scam reporting flowing into verification and disruption stages

Why Scam Reporting Alone Fails

Insights | Australia SPF Series  ·  Published March 26, 2026

Reporting creates visibility, but only verification and disruption reduce attacker capability and scam exposure.

Conceptual illustration of a closed-loop scam response workflow from verification to fast takedown

From Scam Verification to Fast Takedown: Building a Closed-Loop Scam Response System

Insights | Australia SPF Series  ·  Published March 25, 2026

How Scams.Report and NothingPhishy turn public scam signals into verification, evidence, and fast multi-channel takedown.

Australia SPF Related Insights

Abstract illustration representing the Scams Prevention Framework and cross-sector scam prevention ecosystem

What Is Australia's Scams Prevention Framework (SPF)

Published March 10, 2026

The Scams Prevention Framework (SPF) introduces a coordinated regulatory approach to reduce scam harm across Australia's digital and financial ecosystem.

Diagram showing how scam losses can fall on banks even when scammers impersonate other brands

What the Scams Prevention Framework Means for Banks and Financial Institutions

Published March 12, 2026

How SPF is changing the expectations placed on financial institutions

Diagram showing the Actionable Scam Intelligence model including campaign, infrastructure and monetisation signals

Why the Scams Prevention Framework Requires a New Category: Actionable Scam Intelligence

Published March 15, 2026

Moving beyond fraud detection toward intelligence-driven scam prevention

Diagram showing capability layers required for organisations preparing for the Scams Prevention Framework

Preparing for the Scams Prevention Framework: A Capability Checklist for Banks

Published March 18, 2026

Understanding operational readiness for the new scam prevention landscape

Latest Insights

Diagram representing a closed-loop scam response model spanning verification and takedown

What Is a Closed-Loop Scam Response System?

Published March 28, 2026

A practical definition of the model that links scam verification, structured evidence, and infrastructure disruption.

Illustration of explainable scam verification and evidence-based decision making

Why Explainable Scam Verification Matters

Published March 27, 2026

Explainable reasoning turns weak scam signals into actionable cases for escalation, reporting, and fast takedown.

Illustration of scam reporting flowing into verification and disruption stages

Why Scam Reporting Alone Fails

Published March 26, 2026

Reporting creates visibility, but only verification and disruption reduce attacker capability and scam exposure.

Conceptual illustration of a closed-loop scam response workflow from verification to fast takedown

From Scam Verification to Fast Takedown: Building a Closed-Loop Scam Response System

Published March 25, 2026

How Scams.Report and NothingPhishy turn public scam signals into verification, evidence, and fast multi-channel takedown.

Advancing Digital Risk Protection with CSIRO Data61

Advancing Digital Risk Protection with CSIRO Data61

Published

As a 2025 participant in the CSIRO Kick-Start Program, Cyberoo is developing AI-powered systems to verify and score digital threats with scientific precision.

Dismantling Phishing Domains with NothingPhishy

Dismantling Phishing Domains with NothingPhishy

Published

Learn how our AI-driven automation detects and disrupts phishing and brand impersonation threats in real-time to safeguard corporate reputations.

The Future of Scam Detection: AI-Powered Verification

The Future of Scam Detection: AI-Powered Verification

Published

Launching in 2025, our Generative AI chatbot empowers consumers to identify and report suspicious messages, aligning directly with SPF disruption obligations.