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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

Achieve thorough inspection of network traffic with unparalleled insights into advanced threats through VMware vDefend Advanced Threat Prevention, previously recognized as NSX Advanced Threat Prevention. This solution enables the detection of both established and emerging threats, including those that have not been previously identified. It allows for the identification of malware specifically engineered to bypass conventional security measures. Gain extensive visibility into all network traffic, encompassing north-south and east-west movement, while receiving a detailed overview of any anomalous behavior occurring within the network. By consolidating multiple related alerts across various assets and pathways into a single intrusion event, your security team can swiftly grasp the extent of the threat and effectively prioritize their response. This proactive approach eliminates blind spots and ensures the inspection of all network traffic, thereby preventing known threats from infiltrating essential systems and data. Additionally, enhance the speed of threat remediation by leveraging machine learning algorithms to establish baseline behaviors within the network, ultimately leading to a more secure and resilient infrastructure. In this way, organizations can remain one step ahead of potential cyber threats and safeguard their critical resources.

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

Cryptomage

Founded

2015

Country

Poland

Website

cryptomage.io/cybereye

Vendor Details

Company Name

Broadcom

Founded

1991

Country

United States

Website

www.vmware.com/products/cloud-infrastructure/vdefend-advanced-threat-prevention

Product Features

Cybersecurity

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

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