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Description
In the vast landscape of cloud vulnerabilities, only a limited number lead to actual attacks in the real world, making it essential to pinpoint this critical subset for effective cloud security. Even the most committed security teams can encounter challenges in managing these vulnerabilities. It's important to note that the existence of a vulnerability, whether in an exposed asset or listed in the KEV database, doesn’t necessarily signify its critical nature. By smoothly integrating your cloud environment, you can quickly obtain an in-depth overview of your security posture. With our comprehensive attack chain analysis, you will immediately identify areas requiring your focus. Averlon conducts an extensive graph analysis of your cloud, examining assets, network connections, access controls, and potential issues, allowing you to concentrate on the elements that pose the greatest risk. Furthermore, Averlon is instrumental in continuously monitoring your cloud infrastructure to detect potential real-world threats. By streamlining alerts into actionable root cause analysis and providing targeted remediation suggestions, Averlon significantly reduces the time required to address vulnerabilities, ensuring a more secure cloud environment. Ultimately, this proactive approach not only enhances security but also empowers teams to respond swiftly and effectively to emerging threats.
Description
Prevasio is a cloud security platform powered by AI that delivers extensive visibility, automatic threat detection, and strong defense for cloud-based applications. It facilitates the automatic discovery and mapping of cloud infrastructure, pinpointing resources and illustrating their role in powering applications, thereby offering unmatched visibility along with actionable insights. The platform’s agentless Cloud-Native Application Protection Platform (CNAPP) covers the entire CI/CD pipeline through to runtime, ensuring a seamless and effective approach to security management. By assessing risks according to their potential impact on business applications and their severity, Prevasio enables organizations to concentrate on the most critical vulnerabilities. Furthermore, it enhances cloud compliance by continuously monitoring assets, ensuring compliance with industry standards and regulations. Additionally, Prevasio's Infrastructure-as-Code (IaC) scanning allows for the early identification of vulnerabilities during the development cycle, safeguarding cloud infrastructure prior to its construction. This proactive approach not only streamlines security processes but also fosters a culture of security-first development within organizations.
API Access
Has API
API Access
Has API
Integrations
Kubernetes
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Salesforce
Integrations
Kubernetes
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Salesforce
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
Averlon
Website
averlon.ai/
Vendor Details
Company Name
AlgoSec
Founded
2004
Country
United States
Website
www.algosec.com/products/prevasio-overview
Product Features
Container Security
Access Roles / Permissions
Application Performance Tracking
Centralized Policy Management
Container Stack Scanning
Image Vulnerability Detection
Reporting
Testing
View Container Metadata
Network Security
Access Control
Analytics / Reporting
Compliance Reporting
Firewalls
Internet Usage Monitoring
Intrusion Detection System
Threat Response
VPN
Vulnerability Scanning