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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
Snort stands as the leading Open Source Intrusion Prevention System (IPS) globally. This IPS utilizes a collection of rules designed to identify harmful network behavior, matching incoming packets against these criteria to issue alerts to users. Additionally, Snort can be configured to operate inline, effectively blocking these malicious packets. Its functionality is versatile, serving three main purposes: it can act as a packet sniffer similar to tcpdump, function as a packet logger that assists in troubleshooting network traffic, or serve as a comprehensive network intrusion prevention system. Available for download and suitable for both personal and commercial use, Snort requires configuration upon installation. After this setup, users gain access to two distinct sets of Snort rules: the "Community Ruleset" and the "Snort Subscriber Ruleset." The latter, created, tested, and validated by Cisco Talos, offers subscribers real-time updates of the ruleset as they become available to Cisco clients. In this way, users can stay ahead of emerging threats and ensure their network remains secure.
API Access
Has API
API Access
Has API
Integrations
Elastic Observability
EndaceProbe
Joe Sandbox
NXLog
Palo Alto ATP
Panaseer
Picus
Project Ares
ThreatQ
Integrations
Elastic Observability
EndaceProbe
Joe Sandbox
NXLog
Palo Alto ATP
Panaseer
Picus
Project Ares
ThreatQ
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
Cisco
Founded
1984
Country
United States
Website
www.snort.org
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting