Securing 100M+ Daily Train Logs with Multi-Layer Railway Data Protection
GNS Engineering Team 1 min read
In railway monitoring, real-time data is powerful — but only when it is transmitted, processed and protected securely.
Hundreds of trains run on the tracks every day, generating more than 100 million critical operational records. For this environment, GNS designed a secure, high-throughput architecture that balances cybersecurity, performance and operational continuity.
What we delivered
- Private APN LTE connectivity — dedicated private networks built with multiple telecom operators, isolating train IoT data from the public internet at the physical layer.
- AES-256 VPN encryption — all data collected from onboard SACEM systems is transmitted back to central cloud platforms through high-strength encrypted VPN tunnels.
- Secure cloud architecture — strict firewall and intrusion detection deployments, with security and compliance built into data storage and analysis.
- Real-time AI analytics — processing over 100 million train logs per day around the clock, classifying events in milliseconds and triggering instant alerts for critical anomalies.
The impact
The platform enables railway operators to monitor high-volume operational data securely and continuously, while supporting faster anomaly detection and proactive maintenance response.
Cybersecurity is not an add-on in critical infrastructure. At GNS, it is designed into the architecture from day one.
Whatever the scale of your data or the strictness of your security requirements, GNS can design the right architecture for you.