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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
Thanks to the cloud-based architecture and user-friendly interface of InsightIDR, you can effortlessly consolidate and examine your data from various sources like logs, networks, and endpoints, yielding insights in hours instead of months. The platform incorporates User and Attacker Behavior Analytics, supplemented by information from our threat intelligence network, to ensure that all your data is monitored for early detection and response to potential attacks.
In the year 2017, a staggering 80% of breaches related to hacking were attributed to the use of either stolen passwords or weak, easily guessable ones. This highlights that while users can be your most valuable asset, they can also pose significant risks. InsightIDR leverages machine learning technology to establish a baseline for user behavior, providing automatic alerts whenever there is suspicious activity, such as the utilization of stolen credentials or unusual lateral movement across the network. Additionally, this proactive approach allows organizations to strengthen their security posture by continuously adapting to emerging threats.
API Access
Has API
API Access
Has API
Integrations
AWS AppFabric
Carbon Black EDR
Cisco Duo
CyberArk Workforce Identity
Delinea Cloud Access Controller
Google Digital Risk Protection
IBM Security Randori Recon
Imperva WAF
Intellicta
Joe Sandbox
Integrations
AWS AppFabric
Carbon Black EDR
Cisco Duo
CyberArk Workforce Identity
Delinea Cloud Access Controller
Google Digital Risk Protection
IBM Security Randori Recon
Imperva WAF
Intellicta
Joe Sandbox
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
Rapid7
Founded
2000
Country
United States
Website
www.rapid7.com
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting
Product Features
Endpoint Detection and Response (EDR)
Behavioral Analytics
Blacklisting/Whitelisting
Continuous Monitoring
Malware/Anomaly Detection
Prioritization
Remediation Management
Root Cause Analysis
Incident Response
Attack Behavior Analytics
Automated Remediation
Compliance Reporting
Forensic Data Retention
Incident Alerting
Incident Database
Incident Logs
Incident Reporting
Privacy Breach Reporting
SIEM Data Ingestion / Correlation
SLA Tracking / Management
Security Orchestration
Threat Intelligence
Timeline Analysis
Workflow Automation
Workflow Management
Network Traffic Analysis (NTA)
Anomalous Behavior Detection
High Bandwidth Usage Monitoring
Historical Behavior Data
Identify High Network Traffic Sources
Network Transaction Visibility
Stream Data to IDR or Data Lake
Traffic Decryption
SIEM
Application Security
Behavioral Analytics
Compliance Reporting
Endpoint Management
File Integrity Monitoring
Forensic Analysis
Log Management
Network Monitoring
Real Time Monitoring
Threat Intelligence
User Activity Monitoring