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Average Ratings 0 Ratings

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ease
features
design
support

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Description

MixMode's Network Security Monitoring platform offers unmatched network visibility, automated threat detection, and in-depth network investigation capabilities, all driven by advanced Unsupervised Third-Wave AI technology. This platform provides users with extensive visibility, enabling them to swiftly pinpoint threats in real time through Full Packet Capture and long-term Metadata storage. With its user-friendly interface and straightforward query language, any security analyst can conduct thorough investigations, gaining insights into the complete lifecycle of threats and network irregularities. Leveraging the power of Third-Wave AI, MixMode adeptly detects Zero-Day Attacks in real time by analyzing typical network behavior and highlighting any unusual activity that deviates from established patterns. Initially developed for initiatives at DARPA and the Department of Defense, MixMode's Third-Wave AI eliminates the need for human training, allowing it to establish a baseline for your network within just seven days, achieving an impressive 95% accuracy in alerts while also minimizing and identifying zero-day attacks. Additionally, this innovative approach ensures that security teams can respond rapidly and effectively to emerging threats, enhancing overall network resilience.

Description

OpenText™ Core Behavioral Signals is a sophisticated threat detection tool that uses unsupervised machine learning and user entity behavior analytics (UEBA) to uncover behavioral anomalies that signal insider threats, advanced persistent threats, and novel attacks. Its 100% online learning models automatically adapt to the unique behavior patterns of an organization, eliminating the need for constant rule maintenance or threshold updates. This continuous adaptation helps threat hunters detect hard-to-find attacks that traditional rule-based systems might miss. The solution converts vast amounts of data into a focused set of actionable alerts, significantly increasing analyst productivity. Its intuitive dashboards offer a high-level organizational risk overview, while detailed risk timelines and anomaly visualizations assist in deep investigations. Core Behavioral Signals also supports real-time collaboration among analysts, enabling faster threat identification and response. Integration with SOAR and ticketing systems allows for automated workflows and incident management. OpenText provides professional services and expert support to ensure successful deployment and optimization.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Carbon Black EDR
DNSSense
Google Digital Risk Protection
Securden Password Vault for Enterprises
Securden Unified PAM
Symantec Network Forensics

Integrations

Carbon Black EDR
DNSSense
Google Digital Risk Protection
Securden Password Vault for Enterprises
Securden Unified PAM
Symantec Network Forensics

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

MixMode

Founded

2012

Country

United States

Website

mixmode.ai/

Vendor Details

Company Name

OpenText

Founded

1991

Country

Canada

Website

www.opentext.com/products/behavioral-signals

Product Features

Network Security

Access Control
Analytics / Reporting
Compliance Reporting
Firewalls
Internet Usage Monitoring
Intrusion Detection System
Threat Response
VPN
Vulnerability Scanning

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

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