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Description
HyperLake is designed specifically for organizations that are ready to embrace a future where AI agents are the primary users of their infrastructure. Currently, most enterprise infrastructures cater primarily to human users, relying on dashboards, applications, and pre-scheduled pipelines. In contrast, AI agents function differently by querying data, utilizing tools, triggering workflows, generating artifacts, and operating across various systems, which necessitates their continuous access to managed compute resources, data, policies, and services. To address this shift, HyperLake offers a command center that facilitates the deployment, management, operation, security, and governance of this agent-centric infrastructure. The initial offering focuses on Agentic Data Cloud Infrastructure, which includes an open-stack solution for data, analytics, semantics, workflows, and agent systems that can be deployed within the customer’s own virtual private cloud, private cloud, or on-premises setups. This innovative approach ensures that organizations can seamlessly integrate AI agents into their existing frameworks, enhancing efficiency and adaptability in their operations.
Description
Jozu functions as an AI-driven platform focused on securing supply chains by validating artifacts prior to their execution, managing agent activities in real-time, and maintaining a record of all actions taken afterward. The Jozu Hub acts as a self-hosted repository for models, agents, MCP servers, and skills, ensuring that each artifact is consolidated with cryptographic signatures, attestations, thorough scanning, policy regulations, and audit trails. This platform's security analysis, tailored specifically for AI, addresses various threats including concealed executable code within model packages, compromised weights, data poisoning, prompt injection, insecure tools, and violations of licensing. Users can create policies once, which are then distributed as signed OCI artifacts, and these policies are enforced during the processes of pulling, promoting, admitting, or executing artifacts. Additionally, Jozu Agent Guard operates in conjunction with workloads across servers, desktops, edge devices, and isolated systems, implementing local filtering for prompts and input-output, access controls for tools, requirement for approvals, and enforcement of policies in real-time. Through this comprehensive approach, Jozu not only enhances security but also ensures a robust framework for managing and safeguarding AI-related artifacts throughout their lifecycle.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon EKS
Amazon Elastic Container Registry (ECR)
Azure Kubernetes Service (AKS)
Databricks
Docker
GitHub Actions
GitLab
Google Kubernetes Engine (GKE)
Harbor
Hugging Face
Integrations
Amazon EKS
Amazon Elastic Container Registry (ECR)
Azure Kubernetes Service (AKS)
Databricks
Docker
GitHub Actions
GitLab
Google Kubernetes Engine (GKE)
Harbor
Hugging Face
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
CerebrixOS
Founded
2023
Country
Canada
Website
www.cerebrixos.com
Vendor Details
Company Name
Jozu
Founded
2023
Country
United States
Website
jozu.com