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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
DNSEye detects malicious network traffic and reports if this traffic can be blocked using your other security devices. DNS is used in all protocols, including HTTP, HTTPS and IoT. DNS traffic provides information on your entire network, irrespective of the network protocol. DLP products cannot detect data exfiltration attacks using DNS tunnelling. DNS log analysis is required for an effective solution. 80% of malware domains do not currently have an IP address. Only the DNS log can detect malware requests without an IP address. DNSservers generate a large number of difficult-to-understand logs. DNSEye allows for the collection, enrichment and AI-based classifying of DNS logs. Its advanced SIEM integration saves time and EPS because it transfers only the data needed by SOC teams to SIEM. DNSEye collects logs from a variety of DNS servers, including many different brands and models. This can be done without requiring any changes to your network structure.
API Access
Has API
API Access
Has API
Integrations
Azure DNS
BlueCat Gateway
Citrix Analytics
CrowdStrike Container Security
EfficientIP DNS Blast
Exabeam
IBM QRadar SIEM
Infoblox Cloud Network Automation
LogRhythm SIEM
Microsoft 365
Integrations
Azure DNS
BlueCat Gateway
Citrix Analytics
CrowdStrike Container Security
EfficientIP DNS Blast
Exabeam
IBM QRadar SIEM
Infoblox Cloud Network Automation
LogRhythm SIEM
Microsoft 365
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$1000
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
DNSSense
Founded
2016
Country
United Kingdom
Website
www.dnssense.com
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting