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features
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support

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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

Screenshots View All

Screenshots View All

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

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

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