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About

Jozu is an AI supply chain security platform that verifies artifacts before execution, governs agent activity at runtime, and preserves proof of what happened afterward. Jozu Hub provides a self-hosted registry for models, agents, MCP servers, and skills, centralizing each artifact with cryptographic signatures, attestations, scanning, policy controls, and audit records. Its AI-specific security analysis covers threats such as executable code hidden in model packages, backdoored weights, data poisoning, prompt injection, compromised tools, and license violations. Policies can be authored once, distributed as signed OCI artifacts, and enforced when artifacts are pulled, promoted, admitted, or executed. Jozu Agent Guard runs alongside workloads on servers, desktops, edge devices, and air-gapped systems, applying local prompt and input-output filtering, tool-access controls, approval requirements, and runtime policy enforcement.

About

Llama Guard is an open-source safeguard model developed by Meta AI to enhance the safety of large language models in human-AI conversations. It functions as an input-output filter, classifying both prompts and responses into safety risk categories, including toxicity, hate speech, and hallucinations. Trained on a curated dataset, Llama Guard achieves performance on par with or exceeding existing moderation tools like OpenAI's Moderation API and ToxicChat. Its instruction-tuned architecture allows for customization, enabling developers to adapt its taxonomy and output formats to specific use cases. Llama Guard is part of Meta's broader "Purple Llama" initiative, which combines offensive and defensive security strategies to responsibly deploy generative AI models. The model weights are publicly available, encouraging further research and adaptation to meet evolving AI safety needs.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Critical-infrastructure security teams that need to verify AI artifacts and govern agent behavior across restricted environments

Audience

Anyone searching for a tool to implement customizable safety measures in their generative AI applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Jozu
Founded: 2023
United States
jozu.com

Company Information

Meta
Founded: 2004
United States
ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/

Alternatives

Alternatives

Llama 3

Llama 3

Meta

Categories

Categories

Integrations

Amazon EKS
Amazon Elastic Container Registry (ECR)
Azure Kubernetes Service (AKS)
Databricks
Docker
GitHub Actions
GitLab
Google Kubernetes Engine (GKE)
Harbor
Hugging Face
JFrog Artifactory
Kubeflow
Kubernetes
Llama
MLflow
Nebius Token Factory
OpenAI
Red Hat OpenShift
Sonatype Nexus Repository
VMware Tanzu

Integrations

Amazon EKS
Amazon Elastic Container Registry (ECR)
Azure Kubernetes Service (AKS)
Databricks
Docker
GitHub Actions
GitLab
Google Kubernetes Engine (GKE)
Harbor
Hugging Face
JFrog Artifactory
Kubeflow
Kubernetes
Llama
MLflow
Nebius Token Factory
OpenAI
Red Hat OpenShift
Sonatype Nexus Repository
VMware Tanzu
Claim Jozu and update features and information
Claim Jozu and update features and information
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Claim Llama Guard and update features and information