Custocy Collaborates with ENEA to Improve AI-Based Network Threat Detection

AI cybersecurity vendor Custocy has announced that it will embed Enea Qosmos deep packet inspection (DPI) and intrusion detection (IDS) software libraries into its AI-powered network detection and response (NDR) platform. This integration will enable Custocy to improve accuracy and performance, and support product differentiation through granular traffic visibility and streamlined data inspection.

Custocy uniquely uses layered, multi-temporal AI functions to detect both immediate threats and persistent attacks. This approach simplifies the work of security analysts through attack path visualization, improved prioritization, workflow support, and a radical reduction in the number of false positives. By integrating Enea software into their solutions, Custocy will have the extraordinary traffic data they need to expand and accelerate this innovation while meeting extreme performance demands.

With recognition of over 4,500 protocols and delivery of 5,900 metadata, including unique indicators of anomalies, Qosmos ixEngine provides invaluable fuel for AI innovators like Custocy. Additionally, Enea Qosmos Threat Detection SDK provides a two-fold improvement in product performance by eliminating double packet processing for DPI and IDS, optimizing resources and reducing overhead.

Jean-Pierre Coury, Senior Vice President, Embedded Security Business Group, ENEA

Custocy has built their solutions from the ground up to leverage the unique potential of AI to enhance advanced threat detection and security operations. AI is truly in their DNA, and I look forward to the additional value they will deliver to their customers as they support their continued AI innovation with the advanced data foundation provided by Enea software.

Sebastien Sivignon, CEO, Conservation

We are excited to join forces with Enea to deliver the highest level of network breach detection to our customers. Enea Qosmos ixEngine is the industry gold standard for network traffic data. It delivers a level of accuracy and depth that traditional DPI and packet sniffing tools simply can’t match. Having such a rich, clean, well-structured, ready-to-use data source will allow us to significantly improve our performance, work more efficiently, and maximize time for AI model innovation.