We had a great time at RSAC 2023!
If you didn’t get the chance to meet our experts at RSAC in San Francisco, you can still reach out to us through our contact form and we’ll make sure to get in touch to discuss your network traffic visibility needs!
With 75% market share, Enea’s Qosmos ixEngine is the preferred next-generation DPI engine for traffic identification and classification. It delivers the L2-L7 visibility required for high performance threat prevention and detection.
Qosmos ixEngine is the top choice for SSE, SASE, SD-WAN, and SWG vendors looking to improve solution performance through improved traffic visibility.
Get One Step Ahead with Enea’s Qosmos Embedded DPI & Traffic Intelligence!
- Raise the effectiveness of ZTNA with detailed application classification and contextual metadata.
- Enhance the performance of your FWaaS, SWG, NGFW, NDR & XDR by combining next-generation DPI with Suricata.
- See into encrypted traffic! Qosmos ixEngine can identify and classify encrypted traffic without decryption and from the first packet.
- Improve ML-based threat hunting with enriched network traffic data to boost accuracy and performance.
- Choose exceptional product support. Our local support teams are trusted extensions of our customers’ teams, providing global 24/7 assistance and product customization. Our roadmaps are designed around customer needs and priorities.
The Market’s Most Deployed Next-Gen DPI Engine
Qosmos ixEngine Key Features include:
- Market-leading DPI coverage and accuracy: 4000 protocols & applications, 5900 types of metadata
- First Packet Advantage (uniquely accurate 1st packet processing capability)
- Optional modules to accelerate development (e.g., VPP plugin, Rules Engine)
- Flexible form factors (SDK, CNF, VNF, standalone SW sensor)
Qosmos ixEngine also provides unique security insights & indicators, including:
- ML-enhanced encrypted traffic classification & categorization
- Classification of evasive and anomalous traffic
- Complex tunneling visibility: full paths for up to 16 levels of encapsulation
- Extraction of files and embedded links
- Detection of potential Man-in-the-Middle attacks