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Telecom networks are becoming increasingly complex, with rising threats ranging from fraud to intrusion. Traditional security models often struggle to keep pace with evolving vulnerabilities, leaving critical infrastructure exposed.
In this session, we’ll explore how machine learning (ML) is reshaping telecom security. We’ll cover real-world use cases such as anomaly detection, fraud prevention, predictive and automated incident response. Attendees will gain insights into how ML can strengthen defenses, reduce false positives, and adapt to ever-changing attack patterns.
Whether you’re a telecom professional, data scientist, or security enthusiast, this event will provide practical strategies and future-forward perspectives on securing telecom networks in the digital era.
Join us to learn, share ideas, and connect with peers passionate about building the next generation of secure, intelligent systems.

Meeting link below

https://meet.google.com/btr-idzx-mcx

AI/ML
Machine Learning
Amazon Web Services
DevOps

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