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Description
The ARIA Packet Intelligence (PI) application offers OEMs, service providers, and security experts an enhanced method for leveraging SmartNIC technology, focusing on two critical applications: sophisticated packet-level network analytics and the detection, response, and containment of cyber threats. In terms of network analytics, ARIA PI delivers comprehensive visibility across all network traffic, supplying essential analytical data to tools for packet delivery accounting, quality of service management, and service level agreement (SLA) monitoring, ultimately enabling organizations to enhance service delivery and optimize revenue linked to usage-based billing. Regarding cyber-threat management, ARIA PI supplies metadata to threat detection systems, ensuring complete oversight of network traffic, including east-west data flows, which significantly boosts the efficiency of current security measures, such as SIEM and IDS/IPS systems, thereby equipping security teams with improved capabilities to identify, react to, contain, and resolve even the most sophisticated cyber threats. This dual functionality not only strengthens network operations but also fortifies security postures across various sectors.
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.
API Access
Has API
API Access
Has API
Integrations
Archer
Check Point Harmony Endpoint
Cisco ACI
Cloud Customer Certification Lab
Cortex XSOAR
Fortinet SD-WAN
IBM Cloud
LogRhythm SIEM
Palo Alto Networks VM-Series
Splunk Cloud Platform
Integrations
Archer
Check Point Harmony Endpoint
Cisco ACI
Cloud Customer Certification Lab
Cortex XSOAR
Fortinet SD-WAN
IBM Cloud
LogRhythm SIEM
Palo Alto Networks VM-Series
Splunk Cloud Platform
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
ARIA Cybersecurity Solutions
Founded
1968
Country
United States
Website
www.ariacybersecurity.com/cybersecurity-products/aria-packet-intelligence/
Vendor Details
Company Name
Cryptomage
Founded
2015
Country
Poland
Website
cryptomage.io/cybereye
Product Features
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting