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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
A unified dashboard allows for streamlined management across various environments, including physical, virtual, and hybrid-cloud setups. This approach ensures secure workloads throughout the entire spectrum, from on-premises systems to cloud infrastructures. It automates the protection of dynamic workloads to remove any potential blind spots while providing robust defense against advanced threats. Additionally, it incorporates specialized host-based workload protections tailored for virtual instances, preventing strain on the overall system. Utilize threat defenses specifically designed for virtual machines to implement multilayered countermeasures effectively. Enhance your awareness and safeguard your virtualized environments and networks against external threats. The strategy involves comprehensive protective measures such as machine learning, application containment, anti-malware optimized for virtual machines, whitelisting, file integrity monitoring, and micro-segmentation to secure your workloads. Furthermore, it simplifies the assignment and management of all workloads by allowing the importation of AWS and Microsoft Azure tag data into Trellix ePO, ultimately improving operational efficiency and security posture. By integrating these advanced solutions, organizations can ensure a more resilient infrastructure against emerging threats.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Microsoft Azure
Azure Marketplace
Trellix Security Platform
Trellix XDR
Integrations
Amazon Web Services (AWS)
Microsoft Azure
Azure Marketplace
Trellix Security Platform
Trellix XDR
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
Trellix
Founded
2022
Country
United States
Website
www.trellix.com/products/cloud-workload-security/
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