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features
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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

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 No 
Behavioral Analytics No 
Endpoint Management No 
IOC Verification No 
Incident Management No 
Tokenization No 
Vulnerability Scanning No 
Whitelisting / Blacklisting No 

Product Features

Cybersecurity

AI / Machine Learning No 
Behavioral Analytics No 
Endpoint Management No 
IOC Verification No 
Incident Management No 
Tokenization No 
Vulnerability Scanning No 
Whitelisting / Blacklisting No 

Network Traffic Analysis (NTA)

Anomalous Behavior Detection No 
High Bandwidth Usage Monitoring No 
Historical Behavior Data No 
Identify High Network Traffic Sources No 
Network Transaction Visibility No 
Stream Data to IDR or Data Lake No 
Traffic Decryption No 

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