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Description

Threat detection entails a thorough examination of each individual network packet along with its contained data, featuring elements such as network protocol identification and verification, which allows for the identification of both obscure and concealed protocols. It incorporates machine learning techniques that provide a proactive assessment of traffic risk through scoring systems. Additionally, the detection of network steganography helps uncover hidden traffic within the network, including potential data breaches, espionage activities, and botnet communications. Utilizing proprietary algorithms for steganography detection serves as an efficient means of revealing various information concealment strategies. Furthermore, a unique signature database containing an extensive array of recognized network steganography techniques enhances detection capabilities. Forensic analysis is employed to effectively evaluate the ratio of security incidents relative to the traffic source. Facilitating the extraction of high-risk network traffic aids in concentrating analysis on specific threat levels, while storing processed traffic metadata in an extended format accelerates the trend analysis process. This multifaceted approach ensures a comprehensive understanding of network security challenges and enhances the ability to respond to emerging threats.

Description

As the global datasphere expands rapidly due to the proliferation of IoT and 5G technologies, the landscape of cyber threats is also expected to evolve and intensify. The CERNE, our advanced intrusion detection system, plays a vital role in safeguarding our clients against such attacks. By offering both real-time monitoring and historical intrusion detection, the CERNE empowers security analysts to identify intrusions, recognize suspicious behavior, and oversee network security while efficiently managing storage by retaining only pertinent IDS alert traffic. Featuring a powerful 100Gbps IDS engine, the Telesoft CERNE seamlessly integrates automated logging of relevant network traffic, enhancing both real-time and historical investigations into threats as well as digital forensics. Through continuous scanning and packet capture, CERNE selectively retains only the traffic tied to an IDS alert, discarding everything else, which enables analysts to swiftly access critical packet data up to 2.4 seconds prior to an incident, thereby significantly improving incident response times. This capability not only streamlines the investigation process but also contributes to a more proactive approach to network security management.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Cryptomage

Founded

2015

Country

Poland

Website

cryptomage.io/cybereye

Vendor Details

Company Name

Telesoft

Founded

1989

Country

United Kingdom

Website

www.telesoft-technologies.com/product/intrusion-detection/

Product Features

Cybersecurity

AI / Machine Learning No 
Behavioral Analytics No 
Endpoint Management No 
IOC Verification No 
Incident Management No 
Tokenization No 
Vulnerability Scanning No 
Whitelisting / Blacklisting No 

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