
Embedded Deep Packet Inspection and Traffic Intelligence for AI-powered networking and cybersecurity.
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Qosmos ixEngine utilizes a combination of first packet classification and machine learning-enhanced techniques to classify encrypted traffic. This approach provides a level of accuracy and depth that conventional DPI and packet sniffing tools often cannot match, offering granular insights even when traffic is obfuscated.
AI-powered solutions in cybersecurity and networking, such as those for Shadow AI detection, threat intelligence, anomaly detection, and network optimization, benefit significantly. Qosmos provides the high-quality, structured data essential for training and operating these AI models effectively, enhancing their accuracy and impact.
While the Qosmos TD SDK is designed for integration into cybersecurity solutions to provide IDS-based threat detection, its output can be leveraged by SIEM systems. The SDK provides actionable threat intelligence that can be fed into SIEM platforms for centralized logging, correlation, and incident response, enhancing overall security visibility.
Qosmos Probe functions as a high-throughput sensor, designed to monitor network traffic passively without being in the direct data path. This non-intrusive deployment ensures that it does not introduce latency or become a single point of failure, while still providing comprehensive visibility into network infrastructures.
Enea continuously updates the Qosmos ixEngine's protocol and application directory to keep pace with evolving network traffic and new applications. Customers typically receive regular updates to this directory, ensuring the engine can accurately identify the latest protocols and applications, including those that are new or evasive.
Source: qosmos.com