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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
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
API Access
Has API
Integrations
AWS Marketplace
Elastic Observability
Kibana
Logstash
Malcolm
Netdata
Observe
Palo Alto ATP
Security Onion
Splunk APM
Integrations
AWS Marketplace
Elastic Observability
Kibana
Logstash
Malcolm
Netdata
Observe
Palo Alto ATP
Security Onion
Splunk APM
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
Suricata
Website
suricata.io
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting