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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
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting
