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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
Venustech's comprehensive research and accumulation of knowledge in identifying intrusion attacks have propelled it to a leading global position in effective blocking techniques. This advanced system is capable of proactively thwarting a wide range of sophisticated attack methods, including but not limited to network worms, spyware, Trojan horse programs, overflow attacks, database intrusions, advanced threats, and brute force attempts, thereby addressing the shortcomings of conventional security solutions in providing deep defense. Furthermore, Venusense IPS continuously enhances its detection capabilities through the integration of features, behavioral analysis, sandbox environments, and innovative algorithms, while retaining the benefits of traditional intrusion prevention systems. It effectively safeguards against advanced persistent threats, such as unidentified malicious files and unknown Trojan channels, alongside zero-day vulnerabilities, sensitive data leakage incidents, targeted attacks, and enhanced defenses against web scanning. This multifaceted approach ensures that organizations are better protected against an evolving landscape of cyber threats.
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
Venusense
Founded
1996
Country
China
Website
www.venusense.com/type/IPS/
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting