Enea has announced a partnership with Custocy, a AI-driven cybersecurity company, to integrate Enea Qosmos deep packet inspection (DPI) and intrusion detection (IDS) software into Custocy's network detection and response (NDR) platform. This collaboration aims to elevate Custocy's platform by providing enhanced traffic visibility and streamlined data inspection, significantly improving accuracy and performance, the joint statement said on Wednesday.
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Custocy's AI Approach
Custocy is known for its use of layered, multi-temporal AI to detect both immediate and persistent threats. The company says this approach helps security analysts by visualising attack paths, improving threat prioritisation, and reducing false-positive alerts. With Enea's technology, Custocy will gain access to high-quality traffic data, enabling them to accelerate AI innovation and meet demanding performance standards.
Enea's Qosmos ixEngine
Enea says its Qosmos ixEngine, a widely embedded DPI engine in the cybersecurity industry, will play a key role in this integration by offering extensive protocol recognition and metadata delivery. The addition of Enea's Threat Detection SDK will further enhance Custocy's product performance by optimising resources and reducing overheads.
As the need for advanced NDR solutions grows, particularly for detecting unknown and advanced persistent threats (APTs), Custocy asserts that it is well-positioned to meet these challenges.
Jean-Pierre Coury, SVP Embedded Security Business Group, applauds Custocy's vision and achievements, saying: "Custocy has developed their solution from the ground up to exploit the unique potential of AI to enhance advanced threat detection and security operations. AI is truly woven into their DNA, and I look forward to the additional value they will deliver to their customers as they leverage the enhanced data foundation delivered by Enea software to support their continuous AI innovation."
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Custocy CEO Sebastien Sivignon highlighted the advantages of Enea's Qosmos ixEngine, noting that it will enable significant performance improvements and further AI advancements.