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ease
features
design
support

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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

Falcon Cloud Workload Protection offers comprehensive insight into events related to workloads and containers, along with instance metadata, facilitating quicker and more precise detection, response, threat hunting, and investigation, ensuring that every detail in your cloud infrastructure is accounted for. This solution safeguards your entire cloud-native ecosystem across all environments, covering every workload, container, and Kubernetes application. It automates security measures to identify and mitigate suspicious behavior, zero-day vulnerabilities, and high-risk actions, enabling you to proactively address threats and minimize your attack surface. Furthermore, Falcon Cloud Workload Protection features essential integrations that enhance continuous integration/continuous delivery (CI/CD) processes, empowering you to secure workloads rapidly in sync with DevOps without compromising performance. By leveraging these capabilities, organizations can maintain a robust security posture in an increasingly dynamic cloud landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Axonius
CrowdStrike Falcon
Microsoft Azure

Integrations

Amazon Web Services (AWS)
Axonius
CrowdStrike Falcon
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

CrowdStrike

Founded

2011

Country

United States

Website

www.crowdstrike.com/products/cloud-security/falcon-cloud-workload-protection/

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

Alternatives

Alternatives

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