Artificial intelligence and SIEM: a revolution for the security of private 5G networks

A key issue in Industry 4.0

With digital transformation and the rise of Industry 4.0, private 5G networks are becoming the backbone of connected industrial environments. However, these networks, and in particular the N6 interface that connects the heart of 5G to industrial applications, remain exposed to critical vulnerabilities.
To meet these challenges, the integration of artificial intelligence (AI) into SIEM (Security Information and Event Management) solutions opens up innovative prospects for preventing, detecting and reacting to cyberthreats with greater efficiency and precision

SIEM: A complete cybersecurity solution

A strategic tool

Unlike other security solutions such as SOAR (Security Orchestration, Automation and Response), EDR (Endpoint Detection and Response) or IDS (Intrusion Detection System), SIEM offers a holistic view of infrastructure security. It collects, centralizes and analyzes security event logs in real time, enabling teams to accurately identify threats.

Its strengths:

• Centralization of logs and events.
• Intelligent data correlation.
• Real-time analysis for proactive detection.
• Automated reporting for compliance

AI: a performance gas pedal for SIEM

Advanced technologies for cybersecurity

Artificial intelligence is transforming the cybersecurity landscape with technologies capable of detecting anomalies and predicting threats.

1. Language Models (LLM) help to analyze and understand the context of security logs. They identify suspicious behavior and support analysts by simplifying decision-making through in-depth contextual analysis.
2. Transformers, the foundation of LLMs, stand out for their ability to detect complex relationships in data flows. These architectures are ideal for :

• Identify anomalies in industrial data sequences.
• Understand complex time patterns.
• Anticipate threats before they impact the system.

By applying these technologies to industrial data flows, SIEM systems become capable of fine, rapid and adaptive detection.

A solution for 5G-mMTC networks

Proposed architecture

As part of the 5G-mMTC project, we have developed an AI-enhanced SIEM architecture specifically designed for the N6 interface. This solution enables:

• Continuous, real-time monitoring of critical data flows.
• Early detection of anomalies thanks to AI models (Long Short Term Memory neural network, Transformers).
• Issueprecise, contextualized alerts.
  

Why this approach?

AI applied to SIEM brings tangible benefits:

• Reduce false positives for more reliable alerts.
• Greater reactivity thanks to real-time analysis.
• Dynamic adaptation to new threats.
• In-depth data analysis for contextual understanding.

Next steps and outlook

Innovations in progress

Our teams are currently working on :

• Continuous improvement of AI models with industry-specific data.
• Optimizing detection capabilities to anticipate new forms of threat.
• Seamless integration with existing industrial systems.
  

A demonstration to come

A full-scale demonstration is planned for the 2nd quarter of 2025, with clear objectives:

• Validate performance in a real industrial environment.
• Evaluate the effectiveness of alerts and 5G integration.
• Demonstrate the added value of an AI-enhanced SIEM architecture.

Conclusion – Proactive, adaptive cybersecurity

The combination of SIEM and artificial intelligence meets the security requirements of private 5G networks in a demanding industrial context. This approach, at the heart of the 5G-mMTC project, guarantees early detection, proactive prevention and appropriate response to cyber threats.
Thanks to advanced AI technologies and a robust architecture, we offer a solution that evolves with threats, securing the industrial infrastructures of today and tomorrow.