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.

Integrations

Offers API?:
Yes, AhnLab CPP provides an API

Screenshots and Video

AhnLab CPP Screenshot 1

Company Facts

Company Name:
AhnLab
Company Location:
South Korea
Company Website:
global.ahnlab.com/site/product/productSubDetail.do

Product Details

Deployment
SaaS
Windows
Linux
On-Prem
Training Options
Documentation Hub
On-Site Training
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

AhnLab CPP Categories and Features

Cloud Workload Protection Platform

Anomaly Detection
Asset Discovery
Cloud Gap Analysis
Cloud Registry
Data Loss Prevention (DLP)
Data Security
Governance
Logging & Reporting
Machine Learning
Security Audit
Workload Diversity