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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
The AI-driven WebShell detection engine excels at identifying both encrypted and concealed harmful scripts. CWP utilizes Tencent Cloud's comprehensive threat intelligence to monitor and identify hacker activities in real time. Its self-designed lightweight agents perform the majority of computing and protective tasks in the cloud, thereby minimizing the impact on server resources. Furthermore, the system supports rapid deployment and boasts excellent compatibility with popular operating systems. CWP automatically gathers statistics on assets such as servers, components, accounts, processes, and ports, facilitating centralized data management to keep asset risks in check. By employing machine learning techniques, CWP effectively identifies malicious files, including WebShell backdoors and binary trojans. Once detected, these files are subject to access controls and quarantined to prevent their further use. Additionally, the system's proactive approach to asset monitoring ensures an ongoing assessment of security status.
API Access
Has API
API Access
Has API
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
Tencent
Founded
2013
Country
China
Website
intl.cloud.tencent.com/product/cwp
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