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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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About Us

Cyberoo is an Australian scam intelligence, website takedown, and digital risk protection company. NothingPhishy delivers digital risk protection and fast takedown of scam infrastructure. Scams.Report provides explainable scam verification and public reporting support. MuleHunt delivers real-time, evidence-backed intelligence on scam payment destinations before transactions are executed.

NothingPhishy delivers digital risk protection and fast takedown of scam infrastructure.

Scams.Report provides explainable scam verification and public reporting support.

Who We Are

Who We Are

Cyberoo.AI is a research-led cybersecurity company focused on reducing scams, fraud, and digital risk. We combine academic rigor with practical security outcomes to help organisations protect customers, data, and trust.

We deploy generative AI for large-scale pattern identification, classification, and infrastructure analysis.

Our context-aware reasoning models identify emerging and previously unseen threat tactics in real time.

Human-in-the-loop validation ensures precision, reduces false positives, and supports legal compliance requirements.

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Our Experts

Meet Our Experts

Dan Xu
Dan Xu

CEO

Dan Xu is CEO of Cyberoo.AI, specialising in cybersecurity, scam detection, phishing intelligence, and AI-driven threat defence with over 20 years’ experience in financial and digital risk environments.

Jason Liu
Jason Liu

Director, Service and Operations

Jason Liu leads service and operations at Cyberoo.AI, specialising in phishing detection, scam intelligence, brand protection, and scalable AI-driven cybersecurity operations.

Mark Dixon
Mark Dixon

CyberCrime Operations Manager

Mark Dixon is an information security professional with 20+ years in financial services, specialising in cyber threat intelligence, scam disruption, digital risk protection, and online abuse prevention.

Daniel McNamara
Daniel McNamara

Security Researcher

Daniel McNamara is a cybersecurity researcher focused on phishing detection, scam prevention, threat intelligence, and digital risk protection through practical security operations.

Tim Mcintosh
Tim Mcintosh

Security Researcher

Dr Tim McIntosh specialises in generative AI, cybersecurity research, scam detection, threat intelligence, and AI-driven cyber defence, with experience across academia and security operations.

Our Perspective on Scam Prevention

Scams have evolved into organised digital operations involving impersonation, infrastructure and cross-border financial networks. Stopping them requires more than fraud detection – it needs intelligence into how scams propagate, how infrastructure operates and where monetisation occurs, with capabilities that align to regional compliance and regulations, such as Australia's Scams Prevention Framework (SPF) while remaining applicable to other emerging scam prevention frameworks globally.

Our Team's Professional Certifications
Our Expertise

Research Top Picks

Selected research demonstrating our academic rigor and real-world security impact.

#ZeroTrust #GenerativeAI #CyberSecurity

The Erosion of Cybersecurity Zero-Trust Principles Through Generative AI: A Survey on the Challenges and Future Directions

Generative AI is eroding Zero Trust faster than defenses can respond. We introduce the Cyber Fraud Kill Chain, mapping how AI-driven attacks systematically dismantle ZTA controls across seven fraud stages.

1/6
Recognition

Academic Rigor, Industry Impact

Our findings are published and cited by the world's most prestigious technology associations.

Academic recognition graphic