Secure AI from
Build to Runtime
Jozu Hub secures your supply chain. Jozu Agent Guard governs your agents. One platform, two enforcement points, complete audit trails.
1.4 Million Models. Which ones are in your stack?
With over 1 million models available on Hugging Face, do you know which ones your developers are using?
Security-conscious organizations face significant challenges:
Every unverified model is a potential threat vector. In today's AI landscape, security can't be an afterthought.
Learn more about Jozu's perspective on security:
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Unverified AI artifacts
Models, agents, and MCP servers with unknown provenance, no scanning, and no cryptographic signing
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No audit trail for agent actions
Your agents invoke tools, access data, and make decisions with no standard log trail. Auditors can't trace what happened or why
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Runtime governance gap
IAM verifies authorization but can't verify the agent binary matches what was approved. Supply chain tampering happens between authorization and execution
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Agent and MCP sprawl
Developers are downloading and running agents and MCP servers your security team has never vetted, on laptops your policies don't reach
Jozu Hub
Centralized registry, security scanning, policy administration, and audit repository for models, agents, and MCP servers. Deployed on your infrastructure.
Learn moreJozu Agent Guard
Protected execution environment with policy enforcement at admission and runtime. Deploys to servers, desktops, edge, IoT, and air-gapped networks.
Learn more
The Security and Governance
Layer for AI in Production
Jozu Hub hardens KubeFlow pipelines and KServe deployments with automated security scanning, tamper-proof storage, and governance. Jozu Agent Guard extends that security to agents and MCP servers with runtime policy enforcement. You don’t have to replace your existing tools.
Take Control of Your
AI Supply Chain and Runtime
We're building a vendor-agnostic MLOps platform and KitOps ModelKits align perfectly with that vision. They work wherever our containers do - on-prem or in the cloud - giving us the freedom to store and deploy ML artifacts without being tied to a specific infrastructure.
HOW IT WORKS
Request your free Jozu trial
Interested in testing Jozu in your private environment? Download the Helm Chart, and start your 2-week trial.
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STEP 1
Install
Jozu Hub can be installed in your environment in just 1-hour, with no disruptions to existing workflows. We suggest taking a baseline measurement of current deployment times and security gaps, to benchmark against.
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STEP 2
Evaluate
Once installed, you can run real-world tests with your models and infrastructure for up to 2-weeks. This will allow you to measure Jozu's performance against your existing tools and processes.
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STEP 3
Review
At the end of your 2-week trial our team will work with you to review your results, and help you quantify improvements and ROI. This includes an implementation and roadmap discussion.