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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
API Access
Has API
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
Free
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
Jozu
Founded
2023
Country
United States
Website
jozu.com
Vendor Details
Company Name
LLM Guard
Website
llm-guard.com