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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
Prevent new and unidentified threats using both signature-based and signature-less intrusion prevention systems. Signature-less intrusion detection effectively identifies and mitigates malicious network traffic even when no recognized signatures are available. Enable network virtualization across both private and public cloud platforms to enhance security and adapt to evolving IT environments. Optimize hardware performance to achieve speeds of up to 100 Gbps while utilizing data from various sources. Detect hidden botnets, worms, and reconnaissance attacks that may be lurking within the network landscape. Gather flow data from routers and switches, integrating it with Network Threat Behavior Analysis to identify and correlate unusual network activities. Identify and neutralize advanced threats in on-premises setups, virtual environments, software-defined data centers, as well as across private and public clouds. Achieve comprehensive east-west network visibility and threat protection throughout virtualized infrastructures and data centers. By maintaining a proactive security posture, organizations can ensure their networks remain resilient against emerging threats.
API Access
Has API
API Access
Has API
Integrations
CYREBRO
Nexpose
Rackspace OpenStack
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
Trellix
Founded
2022
Country
United States
Website
www.trellix.com/products/intrusion-prevention-system/
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting
Product Features
Network Access Control (NAC)
Authentication
Authorization
Automated Hotfix / Updates
Centralized Policy Management
Dashboard
Device Auto-Provisioning
Device Self-Registration
Posture Assessment
Quarantine / Remediation
Secure Guest Access