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Description
Mitigate lateral movement and prevent data theft by utilizing Avocado's security and visibility solutions that are both agentless and tailored for applications. This innovative approach combines app-native security with runtime policies and pico-segmentation, ensuring both simplicity and robust security at scale. By establishing microscopic perimeters around application subprocesses, threats can be contained at their most minimal definable surfaces. Additionally, by integrating runtime controls directly into these subprocesses, Avocado enables self-learning threat detection and automated remediation, regardless of the programming language or system architecture in use. Furthermore, it automatically shields your data from east-west attacks, functioning without the need for manual intervention and achieving near-zero false positives. Traditional agent-based detection methods, which rely on signatures, memory analysis, and behavioral assessments, fall short when faced with extensive attack surfaces and the persistent nature of lateral threats. Unless there is a fundamental shift in how attacks are detected, zero-day vulnerabilities and misconfiguration issues will persist, posing ongoing risks to organizational security. Ultimately, adopting such an advanced security model is essential for staying ahead of evolving cyber threats.
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.
API Access
Has API
API Access
Has API
Integrations
Carbon Black EDR
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
Avocado
Country
United States
Website
www.avocadosys.com
Vendor Details
Company Name
MixMode
Founded
2012
Country
United States
Website
mixmode.ai/
Product Features
Application Security
Analytics / Reporting
Open Source Component Monitoring
Source Code Analysis
Third-Party Tools Integration
Training Resources
Vulnerability Detection
Vulnerability Remediation
Vulnerability Management
Asset Discovery
Asset Tagging
Network Scanning
Patch Management
Policy Management
Prioritization
Risk Management
Vulnerability Assessment
Web Scanning
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