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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
Delve into sophisticated real-time network monitoring that provides unmatched insight into live NETFLOW, DNS, HTTP, and SSL traffic. Effortlessly track AWS logs or any protocol from your locations through a comprehensive cloud interface. An efficient on-site capture application transmits all necessary protocol data via a swift connection to your dedicated cloud server. You can analyze aggregate protocol statistics across multiple locations, allowing you to view your entire business's network traffic as a cohesive unit. Alternatively, depending on your requirements, you can opt to monitor network activity at a single site. Gain in-depth visibility into real-time traffic patterns and behaviors. Set up precise alerting parameters for specific protocol fields, focusing on various metrics including request rates, randomization, lengths, counts, and geographic information. Seamlessly explore your network traffic at various sites with an intuitive, browser-based interface. Effortlessly toggle between different protocols, fields, and time intervals while applying tailored filter conditions to refine your analysis even further. This level of detailed monitoring empowers businesses to maintain optimal network performance and quickly respond to any anomalies.
API Access
Has API
API Access
Has API
Integrations
AWS Marketplace
Amazon Web Services (AWS)
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.25 per hour
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
D10 Networks
Country
United States
Website
www.d10nets.com
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting