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Average Ratings 0 Ratings

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features
design
support

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Write a Review

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.

Description

LLM Guard offers a suite of protective measures, including sanitization, harmful language detection, data leakage prevention, and defense against prompt injection attacks, ensuring that your engagements with LLMs are both safe and secure. It is engineered for straightforward integration and deployment within real-world environments. Though it is fully functional right from the start, we want to emphasize that our team is continuously enhancing and updating the repository. The essential features require only a minimal set of libraries, and as you delve into more sophisticated capabilities, any additional necessary libraries will be installed automatically. We value a transparent development approach and genuinely welcome any contributions to our project. Whether you're assisting in bug fixes, suggesting new features, refining documentation, or promoting our initiative, we invite you to become a part of our vibrant community and help us grow. Your involvement can make a significant difference in shaping the future of LLM Guard.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon EKS Yes 
Amazon Elastic Container Registry (ECR) Yes 
Azure Kubernetes Service (AKS) Yes 
Databricks Yes 
Docker Yes 
GitHub Actions Yes 
GitLab Yes 
Google Kubernetes Engine (GKE) Yes 
Harbor Yes 
Hugging Face Yes 
JFrog Artifactory Yes 
Jenkins Yes 
Kubeflow Yes 
Kubernetes Yes 
MLflow Yes 
Model Context Protocol (MCP) Yes 
Python No 
Red Hat OpenShift Yes 
Sonatype Nexus Repository Yes 
VMware Tanzu Yes 

Integrations

Amazon EKS No 
Amazon Elastic Container Registry (ECR) No 
Azure Kubernetes Service (AKS) No 
Databricks No 
Docker No 
GitHub Actions No 
GitLab No 
Google Kubernetes Engine (GKE) No 
Harbor No 
Hugging Face No 
JFrog Artifactory No 
Jenkins No 
Kubeflow No 
Kubernetes No 
MLflow No 
Model Context Protocol (MCP) No 
Python Yes 
Red Hat OpenShift No 
Sonatype Nexus Repository No 
VMware Tanzu No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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 No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Jozu

Founded

2023

Country

United States

Website

jozu.com

Vendor Details

Company Name

LLM Guard

Website

llm-guard.com

Product Features

Product Features

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