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features
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support

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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

Many cybersecurity tools available today are priced in the thousands and often provide minimal actionable insights. However, Dark Cubed stands apart from the crowd. Our innovative cybersecurity solution is specifically crafted to meet the unique requirements of Managed Service Providers (MSPs), particularly focusing on small to medium-sized businesses. Dark Cubed evaluates the risk level of every IP address that connects to the network and proactively blocks those deemed risky. By leveraging a mix of numerous threat intelligence feeds alongside proprietary analytics that assess the credibility of each feed, historical data regarding the IP’s presence on various lists, and additional criteria, we effectively determine whether an IP should be classified as a high-risk connection. We understand that you may lack the resources to constantly supervise your clients' networks, yet it is vital to be alerted when potential issues arise. For instance, if one of your clients begins to exchange data with a high-risk IP address, our system will promptly send you an alert, ensuring you stay informed and can take necessary action. This level of monitoring not only enhances security but also strengthens the trust your clients place in your services.

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

Dark Cubed

Founded

2015

Country

United States

Website

darkcubed.com/about

Product Features

Cybersecurity

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

Product Features

Cybersecurity

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

Network Traffic Analysis (NTA)

Anomalous Behavior Detection
High Bandwidth Usage Monitoring
Historical Behavior Data
Identify High Network Traffic Sources
Network Transaction Visibility
Stream Data to IDR or Data Lake
Traffic Decryption

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