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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
Monitor and block any alterations, authentications, or requests within the system. It is essential to oversee and thwart any unauthorized or undesired activities in real-time to maintain security and compliance within Active Directory. For many years, businesses have faced challenges in extracting contextual and actionable insights from their essential Microsoft infrastructure to meet security, compliance, and operational needs. Even with the implementation of SIEM and various log aggregation tools capturing every possible event, crucial information often gets obscured or is entirely absent. As cyber attackers increasingly employ advanced tactics to evade detection, the urgency for a more effective method to identify and manage changes and actions that breach policy has become critical for security and compliance. Without depending on native logging mechanisms, Netwrix Threat Prevention can identify and, if desired, thwart any changes, authentications, or requests against Active Directory in real time with pinpoint accuracy. This proactive approach ensures that organizations can maintain integrity and compliance more effectively than ever before.
API Access
Has API
API Access
Has API
Integrations
Active Directory
IBM QRadar SIEM
OpenText Enterprise Security Manager
Splunk Cloud Platform
Integrations
Active Directory
IBM QRadar SIEM
OpenText Enterprise Security Manager
Splunk Cloud Platform
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
Netwrix
Founded
2006
Country
United States
Website
www.netwrix.com/threat-prevention.html
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting