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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

Scams Prevention Framework implementation diagram showing fragmented scam visibility, messaging and social channel risks, internal data silos, and payment-stage detection limits.

The Operational Challenges of Implementing the Scams Prevention Framework

Insights | Australia SPF Series  ·  Published April 1, 2026

Why SPF implementation is difficult in practice, from fragmented scam signals to cross-sector coordination and infrastructure disruption.

SPF enforcement infographic showing how scam prevention regulation is enforced through operational traceability, governance, evidence of execution, and cross-sector participation.

How Regulators May Enforce the Scams Prevention Framework

Insights | Australia SPF Series  ·  Published April 3, 2026

A practical view of how SPF enforcement may work, including evidence expectations, governance, traceability, and cross-sector accountability.

Scam intelligence infographic showing the shift from reactive fraud analytics to upstream scam intelligence, including campaign tracking, monetization mapping, and mule account visibility.

Why the Scams Prevention Framework Requires Better Scam Intelligence

Insights | Australia SPF Series  ·  Published April 5, 2026

SPF raises the standard from seeing suspicious payments to understanding the scam operation that created them.

Abstract illustration representing the evolution of scam regulation beyond SPF, showing shared accountability, infrastructure disruption, evidence quality, and intelligence-to-action maturity.

The Future of Scam Regulation After the Scams Prevention Framework

Insights | Australia SPF Series  ·  Published April 8, 2026

SPF is the beginning of operational scam regulation. What comes next and what organisations should build now.

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

Scams Prevention Framework implementation diagram showing fragmented scam visibility, messaging and social channel risks, internal data silos, and payment-stage detection limits.

The Operational Challenges of Implementing the Scams Prevention Framework

Insights | Australia SPF Series  ·  Published April 1, 2026

Why SPF implementation is difficult in practice, from fragmented scam signals to cross-sector coordination and infrastructure disruption.

SPF enforcement infographic showing how scam prevention regulation is enforced through operational traceability, governance, evidence of execution, and cross-sector participation.

How Regulators May Enforce the Scams Prevention Framework

Insights | Australia SPF Series  ·  Published April 3, 2026

A practical view of how SPF enforcement may work, including evidence expectations, governance, traceability, and cross-sector accountability.

Scam intelligence infographic showing the shift from reactive fraud analytics to upstream scam intelligence, including campaign tracking, monetization mapping, and mule account visibility.

Why the Scams Prevention Framework Requires Better Scam Intelligence

Insights | Australia SPF Series  ·  Published April 5, 2026

SPF raises the standard from seeing suspicious payments to understanding the scam operation that created them.

Abstract illustration representing the evolution of scam regulation beyond SPF, showing shared accountability, infrastructure disruption, evidence quality, and intelligence-to-action maturity.

The Future of Scam Regulation After the Scams Prevention Framework

Insights | Australia SPF Series  ·  Published April 8, 2026

SPF is the beginning of operational scam regulation. What comes next and what organisations should build now.

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

Scams Prevention Framework implementation diagram showing fragmented scam visibility, messaging and social channel risks, internal data silos, and payment-stage detection limits.

The Operational Challenges of Implementing the Scams Prevention Framework

Published April 1, 2026

Why SPF implementation is difficult in practice, from fragmented scam signals to cross-sector coordination and infrastructure disruption.

SPF enforcement infographic showing how scam prevention regulation is enforced through operational traceability, governance, evidence of execution, and cross-sector participation.

How Regulators May Enforce the Scams Prevention Framework

Published April 3, 2026

A practical view of how SPF enforcement may work, including evidence expectations, governance, traceability, and cross-sector accountability.

Scam intelligence infographic showing the shift from reactive fraud analytics to upstream scam intelligence, including campaign tracking, monetization mapping, and mule account visibility.

Why the Scams Prevention Framework Requires Better Scam Intelligence

Published April 5, 2026

SPF raises the standard from seeing suspicious payments to understanding the scam operation that created them.

Abstract illustration representing the evolution of scam regulation beyond SPF, showing shared accountability, infrastructure disruption, evidence quality, and intelligence-to-action maturity.

The Future of Scam Regulation After the Scams Prevention Framework

Published April 8, 2026

SPF is the beginning of operational scam regulation. What comes next and what organisations should build now.

Latest Insights

Fake news pages impersonating ABC and 9News used to funnel victims into a fake investment platform via CEO impersonation.

From CEO Impersonation to Deposits: Anatomy of a Fake-News Investment Scam Campaign

Published May 5, 2026

A coordinated late-April campaign abusing Australian media styling, public figures, and the CBA brand — and why executive impersonation is now a scalable scam acquisition system.

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.