Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
ACRA serves as a robust platform designed for the secure execution and management of sensitive applications and AI workloads. By utilizing virtual enclaves along with policy controls, it effectively oversees workload identity, access, network boundaries, secrets, and audit visibility. Teams can implement ACRA on Kubernetes infrastructure, whether in public or private cloud environments, on-premises, or in air-gapped settings, allowing for the management of protected workloads via a unified control plane. This platform is tailored for both enterprise and government teams that deal with sensitive or regulated data, making it ideal for defense and critical infrastructure applications. ACRA's capabilities extend to running containerized applications, AI inference, and various other workloads that necessitate controlled execution. Administrators are empowered to specify which workloads can communicate and access secured resources, while operational dashboards deliver visibility into activities and events across all managed environments. Overall, ACRA proves to be an essential tool in ensuring the integrity and security of sensitive data operations.
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.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
No
Kubernetes
Yes
Microsoft Azure
No
Model Context Protocol (MCP)
Yes
Integrations
Amazon Web Services (AWS)
Yes
Kubernetes
No
Microsoft Azure
Yes
Model Context Protocol (MCP)
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Valarian
Founded
2020
Country
United Kingdom
Website
www.valarian.com/technology
Vendor Details
Company Name
AhnLab
Country
South Korea
Website
global.ahnlab.com/site/product/productSubDetail.do
Product Features
IT Security
Anti Spam
No
Anti Virus
No
Email Attachment Protection
No
Event Tracking
No
IP Protection
No
Internet Usage Monitoring
No
Intrusion Detection System
No
Spyware Removal
No
Two-Factor Authentication
No
Vulnerability Scanning
No
Web Threat Management
No
Web Traffic Reporting
No
Product Features
Cloud Workload Protection
Anomaly Detection
No
Asset Discovery
No
Cloud Gap Analysis
No
Cloud Registry
No
Data Loss Prevention (DLP)
No
Data Security
No
Governance
No
Logging & Reporting
No
Machine Learning
No
Security Audit
No
Workload Diversity
No
Alternatives
No Alternatives