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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
The Transparity Traffic Management System (TMS) empowers transportation experts to effectively oversee traffic patterns and enhance mobility by utilizing real-time data collection and management capabilities. Designed with user feedback and extensive industry knowledge at its core, the contemporary framework of Transparity TMS is equipped to address the current challenges of transportation systems while remaining flexible to adapt to future changes. Offering an intuitive yet robust method for gathering and presenting information, along with continuous access to data from any location, Transparity TMS elevates your traffic management operations significantly. It allows for comprehensive monitoring of traffic conditions across the entire system and connected devices. Users can implement cutting-edge control strategies, assess performance metrics and trends, and facilitate proactive management. Additionally, it centralizes documentation and inventory, safeguards system integrity through rigorous data validation, and enhances accountability via detailed user security protocols, as well as comprehensive logs of controllers and activities. This holistic approach ensures that transportation professionals are equipped with the tools necessary for informed decision-making and efficient traffic oversight.
API Access
Has API
API Access
Has API
Integrations
SQL Server
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
McCain
Founded
1987
Country
United States
Website
www.mccain-inc.com/products/software/central-systems/transparity-tms
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting