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PRODUCT REVIEW: ENEA QOSMOS THREAT DETECTION SDK

The evolution of network environments towards distributed, cloud-centric architectures in the work-from-anywhere era has brought unique challenges to network security. The industry has shifted towards comprehensive cloud-based services like Secure Access Service Edge (SASE), Security Service Edge (SSE), and Secure SD-WAN to address the evolving needs of distributed workforces and cloud-centric IT environments. However, there are several significant cloud security challenges that need to be addressed.

According to the 2022 Security Visibility Report produced by Cybersecurity Insiders, ransomware is the biggest cloud security challenge, with 53% of cybersecurity professionals identifying it as a major concern. This is in response to the recent rise in ransomware attacks. The shift to remote work and the resulting risks introduced in the wake of the Covid-19 pandemic is the next biggest security challenge, with 47% of professionals highlighting it. Limited visibility into cyber threats is also a significant challenge, with 41% of professionals facing difficulty in this area.

This shift towards distributed, cloud-centric architectures requires a reevaluation of network-based defenses, with Intrusion Detection and Prevention Systems (IDS/IPS) playing a crucial role. Enea’s Qosmos Threat Detection Software Development Kit (TD SDK) offers a solution to the demand for more robust, adaptable, and high-performance network threat detection platforms.

By integrating with Enea’s Qosmos ixEngine®, the Qosmos TD SDK provides developers with unmatched traffic visibility and sophisticated analysis for threat detection solutions. It recognizes over 4300 protocols and extracts 5900 metadata types, offering comprehensive network activity insights for in-depth threat analysis. The advanced parsers and dissectors of the Qosmos ixEngine significantly reduce false negatives in threat detection, ensuring that both known and emerging security threats are detected.

Performance and scalability are critical in cloud environments, and traditional open-source IDS are not designed to meet these requirements. The Qosmos TD SDK addresses these challenges by leveraging Suricata’s core IDS functionalities and combining them with the advanced packet inspection capabilities of the Qosmos ixEngine. This eliminates the need for double packet parsing and significantly accelerates packet processing through linear scaling across multiple CPU cores.

The Qosmos TD SDK also offers flexible integration and customizability. It is the first threat detection SDK to provide core IDS capabilities as a software component, allowing for greater flexibility and improved network protection through tight integration with third-party solutions. It supports standard open-source rulesets and industry-available rulesets with Suricata syntax, making deployment easier and reducing false positives and negatives.

In conclusion, Enea’s Qosmos Threat Detection SDK is a strategic evolution in network security solutions. It addresses the critical needs of agility, precision, and scalability in protecting against threats in modern network architectures. With the integration of the Qosmos TD SDK, double packet processing is eliminated, parsing speed is accelerated, and traffic insights are expanded for next-generation threat detection and custom rule development.

Key Points:
– The evolution towards distributed, cloud-centric architectures has brought unique challenges to network security.
– Ransomware, the shift to remote work, and limited visibility into cyber threats are the biggest cloud security challenges.
– Enea’s Qosmos Threat Detection SDK offers unmatched traffic visibility and sophisticated analysis for threat detection solutions.
– The SDK eliminates the need for double packet parsing and significantly accelerates packet processing.
– It provides flexible integration and customizability, allowing for tighter integration with third-party solutions.
– The Qosmos TD SDK addresses the critical needs of agility, precision, and scalability in modern network architectures.

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