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What is Dark Cubed?

Numerous cybersecurity solutions on the market tend to be expensive, often delivering little in the way of actionable insights. In contrast, Dark Cubed distinguishes itself with a unique offering tailored for Managed Service Providers (MSPs), specifically designed for small to medium-sized enterprises. Our platform meticulously assesses the risk associated with each IP address connecting to a network and proactively blocks those identified as potentially harmful. By utilizing a combination of various threat intelligence sources and proprietary analytics that evaluate the reliability of each source, along with historical data about the IP's listings and other relevant factors, we accurately classify connections based on their risk levels. Recognizing the challenges MSPs face in monitoring client networks constantly, we ensure that notifications are sent out promptly should any of your clients interact with a high-risk IP address. This capability not only bolsters security but also reinforces the confidence your clients have in your professional services, fostering a more robust partnership. Furthermore, our user-friendly interface allows for seamless integration into your existing systems, making cybersecurity management simpler and more efficient than ever before.

What is Cryptomage?

Threat detection involves a meticulous analysis of each network packet and its data, which includes identifying and verifying network protocols to uncover both hidden and obscure ones. It utilizes machine learning methodologies that enable a forward-looking evaluation of traffic risk, employing scoring systems to quantify potential threats. The identification of network steganography plays a crucial role in detecting concealed traffic within the network, potentially revealing data breaches, espionage, and botnet activities. By applying specialized algorithms for detecting steganography, this approach effectively exposes various strategies used to hide information. In addition, a distinctive database filled with a wide range of known steganography techniques significantly boosts detection efficacy. Forensic analysis is employed to assess the ratio of security incidents in relation to their traffic origins, providing valuable insights. This also aids in isolating high-risk network traffic for targeted analysis based on specific threat levels, and storing the metadata from processed traffic in an extended format further streamlines the trend analysis process. Overall, this comprehensive strategy not only deepens the understanding of network security issues but also improves the responsiveness to new and evolving threats, ensuring that organizations remain vigilant and prepared.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Dark Cubed

Date Founded

2015

Company Location

United States

Company Website

darkcubed.com/about

Company Facts

Organization Name

Cryptomage

Date Founded

2015

Company Location

Poland

Company Website

cryptomage.io/cybereye

Categories and 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

Categories and Features

Cybersecurity

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

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