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Average Ratings 1 Rating
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
No
API Access
Has API
No
Integrations
Elastic Observability
No
EndaceProbe
No
Joe Sandbox
No
NXLog
No
Palo Alto ATP
No
Panaseer
No
Picus
No
Project Ares
No
ThreatQ
No
Integrations
Elastic Observability
Yes
EndaceProbe
Yes
Joe Sandbox
Yes
NXLog
Yes
Palo Alto ATP
Yes
Panaseer
Yes
Picus
Yes
Project Ares
Yes
ThreatQ
Yes
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)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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
No
Behavioral Analytics
No
Endpoint Management
No
IOC Verification
No
Incident Management
No
Tokenization
No
Vulnerability Scanning
No
Whitelisting / Blacklisting
No