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ease
features
design
support

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Write a Review

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

A cybersecurity model that prioritizes protection is within reach. By enabling server workloads to autonomously safeguard themselves, we ensure ongoing defense against both familiar and unfamiliar threats, including zero-day vulnerabilities. Software underpins the global infrastructure, and until recently, there was no effective method to secure running server workloads. Our innovative, patented technology offers protection from within during runtime, meticulously analyzing the permissible actions of the workload and intercepting harmful code before it executes. This system covers workloads, components, filesystems, processes, and memory, allowing for immediate disruption of an attacker's efforts. Whether the vulnerabilities are patched or not, our solution identifies threats that could evade traditional endpoint defenses. It enables a comprehensive mapping of server workloads without jeopardizing application functionality, ensuring robust protection. This approach not only enhances security at the server workload level but also yields significant operational cost savings. Additionally, we provide on-demand demos and tutorials for the Virsec platform, and you can easily arrange a live demonstration with one of our security experts to see the technology in action.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Microsoft Azure

Integrations

Amazon Web Services (AWS)
Microsoft Azure

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

Virsec

Country

United States

Website

www.virsec.com

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

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

Vulnerability Management

Asset Discovery
Asset Tagging
Network Scanning
Patch Management
Policy Management
Prioritization
Risk Management
Vulnerability Assessment
Web Scanning

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