Unisys Stealth Description

In the modern digital landscape, conventional security measures fall short in defending against cyber threats, which necessitates that organizations embrace a Zero Trust Network approach. This model operates on straightforward principles: no user or device is trusted, whether they are within the internal network or external to it, and access is minimized based on verified identity. While these principles are easy to understand, the process of implementation can pose significant challenges, particularly when it involves costly and lengthy upgrades to current network systems that may deter organizations from transitioning to Zero Trust. However, Unisys Stealth offers a versatile cybersecurity solution that leverages identity-based encrypted microsegmentation to seamlessly convert your existing infrastructure—whether on-premises or cloud-based—into a Zero Trust Network. With Unisys Stealth, businesses gain access to a suite of products and services designed to enhance their security posture, ensure regulatory adherence, and safeguard their operations. This innovative approach empowers organizations to proactively address vulnerabilities while fostering a more resilient security framework.

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Company Details

Company:
Unisys
Year Founded:
1986
Headquarters:
United States
Website:
www.unisys.com/offerings/security-solutions/unisys-stealth-products-and-services

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Product Details

Platforms
Web-Based
Windows
Linux
On-Premises

Unisys Stealth Features and Options

Cybersecurity Software

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

IT Security Software

Anti Spam
Anti Virus
Email Attachment Protection
Event Tracking
IP Protection
Internet Usage Monitoring
Intrusion Detection System
Spyware Removal
Two-Factor Authentication
Vulnerability Scanning
Web Threat Management
Web Traffic Reporting

Network Traffic Analysis (NTA) Software

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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