Overview

ExeonTrace is a next-generation Network Detection and Response (NDR) solution developed by Swiss cybersecurity firm Exeon Analytics. Leveraging advanced machine learning algorithms, it provides comprehensive visibility into network data flows, enabling real-time detection of suspicious behaviors across IT, cloud, and OT infrastructures. Unlike traditional solutions that rely on deep packet inspection, ExeonTrace analyzes lightweight metadata, ensuring efficient monitoring without the need for traffic mirroring or decryption. This approach not only enhances scalability but also ensures that encrypted traffic does not hinder threat detection. By integrating seamlessly with existing infrastructures, ExeonTrace empowers security teams to swiftly identify and respond to cyber threats, bolstering an organization's overall cybersecurity posture.

Features and Capabilities

• AI-Driven Threat Detection: Utilizes machine learning to identify anomalies and potential threats in real-time.
• Metadata Analysis: Analyzes network metadata instead of full packet data, allowing for efficient monitoring without impacting network performance.
• Encrypted Traffic Handling: Effectively monitors encrypted traffic by focusing on metadata, eliminating the need for decryption.
• Comprehensive Visibility: Provides full visibility into IT, cloud, and OT networks, ensuring no blind spots in threat detection.
• Scalable Architecture: Designed to scale with organizational growth, accommodating increasing network complexities.
• Seamless Integration: Integrates with existing infrastructure, including SIEM systems, enhancing overall security operations.
• Automated Incident Response: Facilitates swift response to detected threats through automation, reducing response times.
• User-Friendly Interface: Offers an intuitive dashboard for easy monitoring and management of network security.
• Compliance Support: Assists in meeting regulatory compliance requirements by providing detailed logs and reports.
• Resource Efficiency: Reduces the need for additional hardware or extensive resources, optimizing operational costs.