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Description
Azure Virtual Network provides a secure and isolated space for deploying your virtual machines and applications. You can utilize private IP addresses and configure subnets along with access control policies, among other features. This service allows you to manage Azure similar to your own data center environment. All traffic between Azure resources, whether within a single region or across multiple regions, remains within the Azure network—meaning intra-Azure communications do not pass through the Internet. For virtual machine-to-virtual machine, storage, and SQL interactions, the data traverses solely the Azure network, irrespective of the originating or destination regions. Furthermore, inter-region traffic between virtual networks also occurs entirely within the Azure infrastructure. Virtual Network empowers you to seamlessly integrate your on-premises IT setup into the cloud, akin to connecting to a remote branch office. You can securely establish a connection to your virtual network by selecting either an IPsec VPN or a dedicated line with Azure ExpressRoute, ensuring optimal performance and security for your applications. This flexible connectivity enhances the overall efficiency of managing cloud resources and bolstering your operational capabilities.
Description
A unified dashboard allows for streamlined management across various environments, including physical, virtual, and hybrid-cloud setups. This approach ensures secure workloads throughout the entire spectrum, from on-premises systems to cloud infrastructures. It automates the protection of dynamic workloads to remove any potential blind spots while providing robust defense against advanced threats. Additionally, it incorporates specialized host-based workload protections tailored for virtual instances, preventing strain on the overall system. Utilize threat defenses specifically designed for virtual machines to implement multilayered countermeasures effectively. Enhance your awareness and safeguard your virtualized environments and networks against external threats. The strategy involves comprehensive protective measures such as machine learning, application containment, anti-malware optimized for virtual machines, whitelisting, file integrity monitoring, and micro-segmentation to secure your workloads. Furthermore, it simplifies the assignment and management of all workloads by allowing the importation of AWS and Microsoft Azure tag data into Trellix ePO, ultimately improving operational efficiency and security posture. By integrating these advanced solutions, organizations can ensure a more resilient infrastructure against emerging threats.
API Access
Has API
API Access
Has API
Integrations
Azure Marketplace
Amazon Web Services (AWS)
Azure Route Server
Microsoft Azure
New Relic
Trellix Security Platform
Trellix XDR
Veeam Backup for Microsoft Azure
Integrations
Azure Marketplace
Amazon Web Services (AWS)
Azure Route Server
Microsoft Azure
New Relic
Trellix Security Platform
Trellix XDR
Veeam Backup for Microsoft Azure
Pricing Details
$0.01 per GB
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
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/virtual-network/
Vendor Details
Company Name
Trellix
Founded
2022
Country
United States
Website
www.trellix.com/products/cloud-workload-security/
Product Features
Product Features
Cloud Workload Protection
Anomaly Detection
Asset Discovery
Cloud Gap Analysis
Cloud Registry
Data Loss Prevention (DLP)
Data Security
Governance
Logging & Reporting
Machine Learning
Security Audit
Workload Diversity