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Description

Effectively and swiftly identify, assess, and address threats such as ransomware, fileless malware, and zero-day vulnerabilities in real-time. Designed to utilize machine learning for superior threat detection, BluVector has dedicated over nine years to the creation of its state-of-the-art NDR, known as BluVector Advanced Threat Detection. Supported by Comcast, our innovative solution equips security teams with the necessary tools to gain genuine insights into actual threats, ensuring that both businesses and governmental entities can confidently safeguard their data and infrastructure. It caters to the requirements of enterprises striving to defend critical assets, offering adaptable deployment methods and extensive network reach. By focusing on actionable incidents with relevant context, organizations can lower operational costs while enhancing efficiency. Furthermore, our system enhances network visibility, providing analysts with the essential context needed to effectively address and mitigate malicious activities, ultimately delivering comprehensive coverage against various threats. This commitment to thorough protection ensures that clients can navigate the digital landscape with peace of mind, knowing they are shielded from emerging dangers.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Carbon Black EDR
CrowdStrike Falcon
IBM QRadar SIEM
Microsoft 365
SentryWire
Symantec Advanced Threat Protection

Integrations

Carbon Black EDR
CrowdStrike Falcon
IBM QRadar SIEM
Microsoft 365
SentryWire
Symantec Advanced Threat Protection

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

BluVector

Founded

2015

Country

United States

Website

www.bluvector.io/products/bluvector-atd/

Vendor Details

Company Name

Cryptomage

Founded

2015

Country

Poland

Website

cryptomage.io/cybereye

Product Features

Cybersecurity

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

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