Average Ratings 0 Ratings
Average Ratings 0 Ratings
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 Suricata engine excels in real-time intrusion detection (IDS), inline intrusion prevention (IPS), network security monitoring (NSM), and offline packet capture (pcap) processing. It analyzes network traffic using a robust and comprehensive set of rules and signature languages, complemented by advanced Lua scripting capabilities that allow for the identification of intricate threats. Its compatibility with standard input and output formats such as YAML and JSON simplifies the integration with various tools, including established SIEMs, Splunk, Logstash/Elasticsearch, Kibana, and other databases. The development of Suricata is driven by a vibrant community focused on enhancing security, usability, and efficiency. Additionally, the project is managed and endorsed by the Open Information Security Foundation (OISF), a non-profit organization dedicated to fostering the ongoing development and success of Suricata as an open-source initiative. This commitment not only ensures the software's reliability but also actively encourages community contributions and collaboration.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS Marketplace
No
Elastic Observability
No
Kibana
No
Logstash
No
Malcolm
No
Netdata
No
Observe
No
Palo Alto ATP
No
Security Onion
No
Splunk APM
No
Integrations
AWS Marketplace
Yes
Elastic Observability
Yes
Kibana
Yes
Logstash
Yes
Malcolm
Yes
Netdata
Yes
Observe
Yes
Palo Alto ATP
Yes
Security Onion
Yes
Splunk APM
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
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
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cryptomage
Founded
2015
Country
Poland
Website
cryptomage.io/cybereye
Vendor Details
Company Name
Suricata
Website
suricata.io
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