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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
Protecting against unseen dangers through user and entity behavior analytics is essential. This approach uncovers irregularities and hidden threats that conventional security measures often overlook. By automating the integration of numerous anomalies into a cohesive threat, security analysts can work more efficiently. Leverage advanced investigative features and robust behavioral baselines applicable to any entity, anomaly, or threat. Employ machine learning to automate threat detection, allowing for a more focused approach to hunting with high-fidelity, behavior-based alerts that facilitate prompt review and resolution. Quickly pinpoint anomalous entities without the need for human intervention. With a diverse array of over 65 anomaly types and more than 25 threat classifications spanning users, accounts, devices, and applications, organizations maximize their ability to identify and address threats and anomalies. This combination of human insight and machine intelligence empowers businesses to enhance their security posture significantly. Ultimately, the integration of these advanced capabilities leads to a more resilient and proactive defense against evolving threats.
API Access
Has API
API Access
Has API
Integrations
Accenture Cloud Retail Execution
Amazon AppFlow
Amazon Athena
Amazon Aurora
Amazon Simple Notification Service (SNS)
Amazon SimpleDB
Booz Allen MDR
Cisco ACI
Cisco Catalyst Center
Cisco Cloudlock
Integrations
Accenture Cloud Retail Execution
Amazon AppFlow
Amazon Athena
Amazon Aurora
Amazon Simple Notification Service (SNS)
Amazon SimpleDB
Booz Allen MDR
Cisco ACI
Cisco Catalyst Center
Cisco Cloudlock
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
Splunk
Founded
2003
Country
United States
Website
www.splunk.com/en_us/software/user-behavior-analytics.html
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