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Description
Utilizing advanced full-flow imaging and big data processing technologies, the Intrusion Detection System (IDS) is capable of analyzing user-authorized flow logs through a bypass mechanism. It rapidly detects web application threats while thoroughly examining attacks such as remote command execution, web shell backdoors, and sensitive file leaks perpetrated by cybercriminals, providing precise alerts. Additionally, the system archives the original web traffic logs and generates audit reports, ensuring compliance with cybersecurity classified protection regulations. With user authorization, the IDS performs real-time analysis of bidirectional HTTP traffic logs for user EIP, enabling swift identification of a range of prevalent web attacks, including SQL injection, XSS (cross-site scripting), unauthorized access, and the uploading of web shell backdoors. This comprehensive approach ensures that organizations remain vigilant against evolving cyber threats.
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.
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
Baidu AI Cloud
Founded
2000
Country
China
Website
intl.cloud.baidu.com/product/ids.html
Vendor Details
Company Name
Cryptomage
Founded
2015
Country
Poland
Website
cryptomage.io/cybereye
Product Features
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting