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What is Jozu?

Jozu serves as an AI-powered platform dedicated to enhancing the security of supply chains by confirming the integrity of artifacts before they are executed, overseeing agent activities in real-time, and keeping a detailed log of all subsequent actions. The Jozu Hub functions as a self-contained repository for models, agents, MCP servers, and skills, guaranteeing that each artifact is integrated with cryptographic signatures, attestations, comprehensive scans, policy compliance, and audit records. This platform's security assessment, specifically designed for AI applications, tackles numerous threats such as hidden executable code within model packages, compromised weights, data poisoning, prompt injection, insecure tools, and licensing breaches. Users can establish policies once, which are then distributed as signed OCI artifacts, with enforcement occurring during the actions of pulling, promoting, admitting, or executing these artifacts. Furthermore, Jozu Agent Guard collaborates seamlessly with workloads across servers, desktops, edge devices, and isolated systems, applying local filtering for prompts and input-output, implementing access controls for tools, requiring approvals, and enforcing policies in real-time. By adopting this all-encompassing strategy, Jozu significantly boosts security while also providing a resilient framework for managing and protecting AI-related artifacts throughout their entire lifecycle. Ultimately, this ensures that users can trust the integrity and compliance of their AI systems.

What is Isle?

Isle provides specialized managed environments designed specifically for desktop applications utilized by computer-use agents, featuring integral guardrails, application oversight, and artifact checkpoints. Instead of simply offering a generic machine for the agent, Isle encapsulates each application within a framework that includes essential monitoring, containment, and recovery protocols to facilitate efficient operation. These environments come pre-configured with all necessary software readily available, and regular health checks confirm that applications are functioning properly instead of just checking for online connectivity. Developers have the flexibility to implement any computer-use model or agent loop utilizing widely adopted functionalities such as screenshots, mouse interactions, keyboard inputs, file transfers, and execution commands. In addition to this, artifact checkpoints help preserve important progress prior to major actions, allowing for restoration if problems occur, while recovery controls grant agents the ability to restart applications and return to the latest stable version. This all-encompassing methodology not only boosts productivity but also reduces interruptions, making it a highly effective solution for overseeing desktop applications. Ultimately, Isle's innovative approach ensures that user experience is optimized and operational efficiency is maintained.

Media

Media

Integrations Supported

Amazon Elastic Container Registry (ECR)
Azure Kubernetes Service (AKS)
Databricks
Docker
GitHub Actions
GitLab
Google Kubernetes Engine (GKE)
Harbor
JFrog Artifactory
Jenkins
Kubeflow
Kubernetes
MLflow
Model Context Protocol (MCP)
Red Hat OpenShift
Sonatype Nexus Repository
VMware Tanzu

Integrations Supported

FreeCAD
KiCad EDA
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$29 per month
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Jozu

Date Founded

2023

Company Location

United States

Company Website

jozu.com

Company Facts

Organization Name

Isle

Date Founded

2026

Company Website

www.tryisle.com

Categories and Features

AI Guardrails

Not specified

Categories and Features

Agentic AI

Not specified

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