Threats to telecom networks are always changing, ranging from widespread service interruptions to fraud and fake voice traffic. The scope, velocity, and complexity of threats are too much for traditional security techniques to handle. This talk examines how telecom operators can update their security strategy and improve customer service delivery trust by utilizing AI-powered detection models on AWS cloud-native services. My focus will be on voice and fraud detection, as well as how AWS's scalable infrastructure guarantees high availability for mission-critical telecom workloads. Trained SageMaker models would be used to detect fraudulent calls, impersonation, and anomalies in speech traffic while employing cloud-native at scale, which enables high-availability threat monitoring. Building real-time response for secured pipelines to stop threats before they impact services and for business value, reducing revenue loss, strengthening customer trust, and aligning with compliance standards.