TrustNet AI: Autonomous Scam Prevention for Telecom Networks demonstrates how communications service providers can transform fraud management from a reactive, manual process into an intelligent, autonomous network capability. As SMS scams, smishing attacks, and fraudulent voice communications continue to increase in both volume and sophistication, traditional fraud prevention approaches struggle to keep pace. This Catalyst addresses that challenge by embedding AI-driven intelligence directly into the telecom network, enabling real-time detection, automated decision-making, and rapid mitigation to protect customers and maintain trust. At the core of the solution is a network-centric trust platform built on TM Forum ODA architecture and Open APIs. TrustNet AI integrates with key network functions, including SMSC, SBC, IMS, and subscriber intelligence platforms, to continuously analyse communication events. By enriching network data with subscriber context, reputation information, behavioural patterns, and network intelligence, the platform creates a comprehensive understanding of potential fraud activity and can identify both known threats and previously unseen attack patterns as they emerge. The innovation lies in combining Agentic AI, GenAI, dynamic reputation scoring, and automated policy orchestration within a closed-loop operational framework. Rather than simply flagging suspicious activity, TrustNet AI autonomously determines the most appropriate response based on regulatory requirements, trust frameworks, and business policies before immediately enforcing protection measures across the network. Through continuous learning from customer feedback and fraud investigations, the platform evolves alongside emerging threats, delivering an explainable and scalable approach to fraud prevention. The business value is significant. By reducing the time between threat detection and mitigation from hours or days to seconds, CSPs can minimise fraud losses, improve customer confidence, and reduce the operational burden of manual investigations. The solution also strengthens regulatory compliance, improves operational efficiency, and establishes trust as a native network capability. Beyond scam prevention, the reusable architecture provides a foundation for future digital trust services, including voice fraud protection, enterprise messaging security, SIM-swap prevention, and digital identity verification, helping CSPs evolve from connectivity providers into providers of trusted digital experiences.