AI security meets telecom. Ian Webster joined Swisscom Outpost on stage to discuss practical GenAI security challenges for real deployments.
The Session
AI Security in Telecommunications
Ian Webster joined Swisscom's security team on stage to discuss the unique challenges of securing AI systems in telecommunications infrastructure. From customer service chatbots to network operations assistants, telecom companies are deploying LLMs at scale—and facing new security challenges.
Telecom Security Challenges
Why AI security is critical for the telecommunications industry.
5G & Edge Computing
AI at the network edge introduces new attack surfaces. From base stations to customer premises equipment, LLMs are everywhere.
API Exposure
Telecom APIs increasingly use AI for routing, fraud detection, and customer service. Each endpoint is a potential vulnerability.
Customer Data
Call records, location data, billing information. AI systems processing this data need rigorous security testing.
Critical Infrastructure
Networks that power emergency services, hospitals, and financial systems. The stakes for AI security couldn't be higher.
Key Discussions
Carrier-Grade LLM Security
How major telecom providers are approaching AI security at scale, including lessons learned from early deployments and best practices emerging across the industry.
Network API Protection
Strategies for securing AI-powered network APIs against prompt injection, data exfiltration, and unauthorized access attempts.
Regulatory Compliance
Navigating GDPR, telecommunications regulations, and emerging AI governance frameworks while deploying innovative AI solutions.
Establish Connection
Ready to secure your telecom AI deployments? Start testing with Promptfoo's open-source red teaming framework.