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What is Azure Automanage?

Azure Automanage offers a robust solution designed to simplify IT management tasks effectively. With its user-friendly point-and-click interface, the service facilitates the automation of operations while ensuring that best practices are consistently applied throughout the lifecycle of both Windows Server and Linux servers, whether deployed in Azure or in hybrid environments supported by Azure Arc. It guarantees that virtual machines in these settings benefit from automated configurations that adhere to best practices. Furthermore, Azure Automanage incorporates proactive drift detection and remediation capabilities, significantly improving the availability of workloads. By automatically implementing security baselines, it ensures ongoing management and protection of systems against potential vulnerabilities. The proactive identification and correction of any misconfigurations allow Azure Automanage to play a crucial role in sustaining optimal workload uptime and overall system integrity. This blend of automation and adherence to best practices results in a more streamlined and efficient IT management experience, ultimately empowering organizations to focus on their core objectives. Additionally, the enhanced visibility provided by Azure Automanage aids in informed decision-making for IT strategies and resource allocation.

What is AhnLab CPP?

A growing number of businesses are moving towards cloud platforms as part of their digital transformation initiatives. However, these cloud solutions require a novel security approach that ensures centralized management and governance over cloud workloads. AhnLab CPP functions as an all-encompassing cloud workload protection platform that prioritizes enhanced security, consolidated management, and flexibility for workloads in hybrid environments. It delivers broad visibility and simplified oversight for both on-premise and cloud infrastructures, including major providers such as AWS and Azure. The platform streamlines operations and monitoring through a single, web-based management interface. Its modular CPP management system allows for adaptable configurations that cater to unique business requirements. By enabling selective deployment of security features, it effectively aids in minimizing costs. In addition, it offers real-time malware detection for both Windows and Linux servers while ensuring minimal impact on resources and performance. As such, it proves to be a vital asset for organizations aiming to secure their hybrid cloud environments efficiently and effectively. By implementing such a solution, companies can better protect their digital assets and streamline their operational efficiency.

Media

Media

Integrations Supported

Microsoft Azure
Amazon Web Services (AWS)

Integrations Supported

Microsoft Azure
Amazon Web Services (AWS)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1974

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/azure-automanage

Company Facts

Organization Name

AhnLab

Company Location

South Korea

Company Website

global.ahnlab.com/site/product/productSubDetail.do

Categories and Features

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Categories and 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

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