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Description
A growing number of companies are shifting their operations to cloud platforms to enhance their digital transformation efforts. This transition necessitates a novel security solution that offers centralized oversight and administration for workloads within these cloud environments. AhnLab CPP serves as a cohesive cloud workload protection platform that emphasizes delivering tailored security, streamlined management, and adaptability for workloads across hybrid settings. It ensures extensive visibility and straightforward management for workloads operating on both on-premise and cloud servers, including AWS and Azure environments. The platform facilitates effortless operation through a single web-based management interface. With its modular CPP management, it allows for flexible configurations based on specific business needs. Additionally, it helps reduce costs by permitting targeted installation and utilization of security solutions. Moreover, it offers real-time malware scanning capabilities for both Windows and Linux servers while maintaining minimal resource and performance impact, ensuring that businesses can operate efficiently in a secure environment. Ultimately, AhnLab CPP represents a critical tool for organizations striving to safeguard their cloud workloads while embracing the advantages of digital innovation.
Description
Transition your data, applications, and workloads to the cloud seamlessly, ensuring zero downtime with Arcserve Live Migration, which is specifically crafted to facilitate your cloud transformation without causing any disruptions. This solution allows for the effortless relocation of your essential data and workloads to your chosen cloud destination while maintaining uninterrupted business operations. By streamlining the cutover process, it reduces complexity and provides a centralized console for managing the entire migration journey. Arcserve Live Migration makes the task of moving data, applications, and workloads straightforward and efficient. Its versatile architecture supports the migration of almost any data type or workload to various environments, including cloud, on-premises, or remote locations like edge computing, and is compatible with virtual, cloud, and physical systems alike. Furthermore, it automatically keeps files, databases, and applications synchronized between Windows and Linux systems and a secondary physical or virtual environment, whether located on-site, at a remote site, or in the cloud, ensuring consistent data integrity throughout the process. This comprehensive approach not only enhances operational efficiency but also provides peace of mind during critical migrations.
API Access
Has API
API Access
Has API
Integrations
Microsoft Azure
Amazon EC2
Amazon Web Services (AWS)
Datto RMM
Datto Workplace
HPE Consumption Analytics
Microsoft Exchange
Microsoft Hyper-V
Microsoft IIS
Oracle Database
Integrations
Microsoft Azure
Amazon EC2
Amazon Web Services (AWS)
Datto RMM
Datto Workplace
HPE Consumption Analytics
Microsoft Exchange
Microsoft Hyper-V
Microsoft IIS
Oracle Database
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
AhnLab
Country
South Korea
Website
global.ahnlab.com/site/product/productSubDetail.do
Vendor Details
Company Name
ArcServe
Founded
1983
Website
www.arcserve.com/data-protection-solutions/arcserve-live-migration/
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