Reasons Behind the Growth of India’s Electronics Manufacturing Services (EMS) Sector

India’s electronics manufacturing industry has been on...

Developing Modern Telematics With Quest Global’s Suraj Nair

While the benefits of telematics as a...

Edge AI Vision For Factory Automation

Edge AI vision for factories could be...

Trending

Custocy NDR Platform Advances AI With Enea Qosmos IDS, DPI Software

Enea announced that Custocy, a well-known expert in artificial intelligence (AI) for cybersecurity, will incorporate Enea Qosmos intrusion detection (IDS) and deep packet inspection (DPI) software libraries into its network detection and response (NDR) platform that uses AI.Custocy NDR platform Opt Enea Qosmos IDS, DPI Software the volt post

Custocy will be able to enhance performance and accuracy as well as facilitate product differentiation thanks to this integration, which will speed data inspection and provide comprehensive traffic visibility.

As a leader in artificial intelligence (AI) technology for cybersecurity, Custocy employs layered, multi-temporal AI functions in a novel way to identify both persistent and imminent threats.

Through attack path visualization, enhanced prioritizing, workflow support, and a significant decrease in the quantity of false-alarm warnings (also known as “false positives”), this method simplifies the work of security analysts. Custocy will have the outstanding traffic statistics required to expand and accelerate this innovation while satisfying high performance requirements by including Enea software into their solution.

In the cybersecurity sector, Enea’s Qosmos ixEngine deep packet inspection (DPI) engine is the most extensively used embedded DPI engine. Although it has long been essential to a variety of security tasks, security executives are now coming to appreciate it more and more for the contribution it makes to AI innovation.

AI innovators like Custocy benefit greatly from Qosmos ixEngine’s market-leading recognition of over 4500 protocols and delivery of 5900 information, which includes unique indicators of anomaly.

In addition, the Enea Qosmos Threat Detection SDK delivers:

  • Atwo-fold improvement in product performance by eliminating double packet processing for DPI and IDS, optimizing resources and streamlining overheads.
  • And thanks to Enea Qosmos ixEngine’s packet acquisition and parsing library, parsing speed is accelerated while traffic insights are vastly expanded to fuel next-generation threat detection and custom rule development.

There has never been a greater need for high-performing NDR solutions, which makes these improvements crucial. The detection of unknown and advanced persistent threats (APTs) is a critical task for NDR, one that will only grow more difficult as threat actors begin utilizing AI tools and methods.

With a distinctive technological foundation based on artificial intelligence, Custocy is well-positioned to assist both public and commercial enterprises in meeting this problem. The company has won numerous accolades, most recently “Product of the Year” at Cyber Show Paris.

Key Comments

Jean-Pierre Coury, SVP Embedded Security Business Group, applauds Custocy’s vision and achievements: “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.”Custocy NDR platform Opt Enea Qosmos IDS, DPI Software the volt post

Custocy CEO, Sebastien Sivignon, states: “We are thrilled to join forces with Enea to offer our customers the highest level of network intrusion detection. The Enea Qosmos ixEngine is the industry gold standard for network traffic data. It offers a level of accuracy and depth conventional DPI and packet sniffing tools cannot match. Having such a rich source of clean, well-structured, ready-to-use data will enable us to dramatically improve our performance, work more efficiently and devote maximum time to AI model innovation.”

For Further Info: CLICK HERE

spot_img

Don't Miss