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Description
Introducing AI and Kubernetes that prioritize security from the ground up, regardless of your infrastructure's location. By establishing a robust security boundary around Kubernetes workloads, we eliminate the risks associated with container escapes. Our approach simplifies the execution of AI and machine learning tasks through advanced GPU device virtualization, driver isolation, and virtual GPUs (vGPUs). Edera Krata heralds a transformative shift in isolation technology, paving the way for a new era focused on security. Edera redefines both security and performance for AI and GPU applications, while ensuring seamless integration with Kubernetes environments. Each container operates with its own dedicated Linux kernel, thereby removing the vulnerabilities linked to shared kernel states among containers. This advancement effectively ends the prevalence of container escapes, reduces the need for costly security tools, and alleviates the burden of endlessly sifting through logs. With just a few lines of YAML, you can launch Edera Protect and get started effortlessly. Designed in Rust to enhance memory safety, this solution has no negative impact on performance. It represents a secure-by-design Kubernetes framework that effectively neutralizes threats before they can take action, transforming the landscape of cloud-native security.
Description
Aegis provides robust protection for your AI models, effectively preventing issues like model poisoning and safeguarding data integrity, allowing you to confidently implement your AI/ML initiatives in either the cloud or on-premises while maintaining a strong security posture against a constantly changing threat environment. The lack of security in AI/ML tools can widen attack surfaces and significantly increase the risk of security breaches if security teams do not remain vigilant. An inadequate security strategy for AI/ML can lead to severe consequences, including data breaches, operational downtime, loss of profits, damage to reputation, and theft of credentials. Additionally, weak AI/ML frameworks can endanger data science projects, leaving them susceptible to breaches, theft of intellectual property, supply chain vulnerabilities, and manipulation of data. To combat these risks, Aegis employs a comprehensive suite of specialized tools and AI models to scrutinize data within your AI/ML ecosystem as well as information from external sources, ensuring a proactive approach to security in an increasingly complex landscape. This multifaceted strategy not only enhances protection but also supports the overall integrity of your AI-driven operations.
API Access
Has API
API Access
Has API
Integrations
Kubernetes
Rust
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
Edera
Founded
2024
Country
United States
Website
edera.dev/
Vendor Details
Company Name
Neysa
Website
www.neysa.ai/aegis
Product Features
Container Security
Access Roles / Permissions
Application Performance Tracking
Centralized Policy Management
Container Stack Scanning
Image Vulnerability Detection
Reporting
Testing
View Container Metadata