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How New Zealand’s Anti-Scam Alliance Is Uniting Government, Banks and Platforms
New Zealand’s Anti-Scam Alliance brings together banks, telcos and tech platforms to coordinate national scam prevention and disruption efforts.
James Greening
Nov 18, 2025


How India’s Fraud Risk Indicator Strengthens Real-Time Scam Detection
Discover how India’s new Financial Fraud Risk Indicator offers a model for real-time fraud detection and cross-sector collaboration.
James Greening
Nov 11, 2025


United Against Scams: Mexico’s Path to Stronger Protection
GASA Mexico Chapter brings leaders together to strengthen prevention, reporting, and national collaboration against scams.
Global Anti-Scam Alliance (GASA)
Nov 6, 2025


Session Recordings – Global Anti-Scam Summit Asia 2025
Watch all recordings from the Global Anti-Scam Summit Asia 2025 in Singapore, featuring ministers, experts, and industry leaders.
Global Anti-Scam Alliance (GASA)
Sep 22, 2025


Telcos and Regulators Against Scams Globally | Global Anti-Scam Summit London 2025
Telecom leaders and regulators discuss global strategies to fight scam calls and messaging fraud at GASS London 2025.
Global Anti-Scam Alliance (GASA)
Apr 19, 2025


The View from Across the Fraud Attack Chain | Global Anti-Scam Summit London 2025
At GASS London 2025, experts from Meta, Mastercard, Cifas, and more explored how scams unfold across the fraud attack chain.
Global Anti-Scam Alliance (GASA)
Apr 19, 2025


Fighting Back on Mobile Scams | Global Anti-Scam Summit London 2025
This GASS London 2025 session explores how mobile networks and cybersecurity firms are using AI and APIs to block scams and protect consumers.
Global Anti-Scam Alliance (GASA)
Apr 19, 2025


From Crisis to Coordination: How India’s Telecom Sector Cut Spoofed Fraud Calls by 90%
India curbed spoofed scam calls by 90% through AI detection, blocking foreign carriers, and public reporting, saving ₹2,500 crore.
James Greening
Apr 4, 2025


Multimodal LLMs for Phishing Detection
The research aims to study how LLMs perform in identifying phishing targets, providing explanations, and handling different input types.
Dinil Mon Divakaran
Feb 18, 2025


Alarming $17.3M Trade in Stolen Personal Data on the Dark Web
Explore how stolen personal data is bought and sold on the dark web, with millions of dollars in transactions.
James Greening
Feb 18, 2025

