GSMA Fraud and Security Group (FASG #35) | Neural Technologies

Meet Neural Technologies at FASG #35 in Singapore

Neural Technologies continues its long-standing engagement with the GSMA Fraud and Security Group (FASG), contributing to industry collaboration on fraud prevention, cybersecurity governance, and the operationalization of digital trust across the mobile ecosystem. FASG #35 in Singapore brings together mobile network operators, industry partners, and security experts to address evolving fraud and cyber threats impacting the telecommunications industry.

• When: 📅 9–11 June 2026
  

• Where: 📍 Mapletree Business City, Singapore

Neural Technologies will also participate as a speaker on artificial intelligence (AI) and large language models (LLMs) in strengthening fraud detection and management operations.

Digital Trust and Fraud Risk in the Region

The theme of FASG #35, “Operationalizing Digital Trust: Fraud and Security Governance, Skills and Operations Across the Mobile Ecosystem,” reflects the growing need for stronger governance, operational controls, and coordinated industry action.

Mobile ecosystems across the Asia Pacific continue to face rising threats, including SMS blasters, phishing, and AI-enabled scams. Recent GSMA research on ASEAN scam activity highlights the scale and impact of consumer fraud across the region, reinforcing the need for stronger cross-industry collaboration and protection measures.

GSMA ASEAN Consumer Scam Report 2025

Key topics for discussion

• AI, LLMs and Automated Defenses: How AI can be used operationally to improve threat detection, vulnerability identification and secure-by-design practices across devices, networks and applications.
• Cyber Protection: In light of recent incidents, practical operational controls for preventing and detecting persistent embedded threats.
• Governance, Assurance and Supplier Accountability: Strengthening governance of outsourced security, fraud and network operations to ensure that managed service and solution providers cannot themselves become vehicles for fraud or abuse.
• Skills, Training and Runbooks: Expanding awareness and practical use of the GSMA Mobile Cyber Knowledge Base to detect and prevent fraud and exploitation.
• Scams and Customer Protection: Strengthening controls to detect and disrupt phishing, SMS blasters and AI‑enabled scams, while improving customer communication and recovery to better protect end‑users.

Book A Meeting to Explore AI and LLM Use Cases in Fraud Prevention

Meet with Neural Technologies at FASG #35 to discuss how AI and large language models (LLMs) can be applied to improve fraud detection, automate defenses, and strengthen cybersecurity operations across telecom networks.

> Book a Meeting