Jozu

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Overview

On-prem/SaaS DevSecOps platform to package, secure, and deploy AI models and agents with audit trails, policy controls, and Kubernetes workflows.

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Best For Professions:

ML engineers MLOps engineers platform engineers security architects DevOps teams CISOs

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Jozu is an enterprise AI DevSecOps platform for securely packaging, scanning, and deploying AI/ML models and agent-driven apps. Delivered as SaaS or fully on-prem, it provides a model/agent registry, policy enforcement, SBOM/provenance, and tamper-proof ModelKits based on open standards (KitOps/OCI). Jozu integrates with Kubernetes stacks and CI/CD tools to speed compliant, auditable releases—supporting air-gapped environments and EU AI Act/NIST alignment.

Autonomy level

21%

Reasoning: Jozu is not an AI agent but rather an enterprise MLOps orchestration platform for managing AI/ML deployments on Kubernetes. Its autonomy rating reflects its automation capabilities rather than agent-based autonomy. The platform automates critical DevOps workflows including security scanning, model packaging, vulnerability detection, deployment opti...

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Some of the use cases of Jozu:

Creating a secure registry for models and agent applications with versioning and lineage.
Automating SBOM/provenance attestations and policy checks before deployment.
Deploying hardened inference containers to Kubernetes in private or air-gapped environments.
Integrating ML workflows with GitHub Actions, GitLab CI, Kubeflow, MLflow, and KServe.
Preparing compliance/audit reports for EU AI Act, ISO 42001, and NIST AI RMF.

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Pricing model:

freemium

Code access:

closed-source

Popularity level: 46%

Industries:

Software Development Enterprise IT Cybersecurity Government & Regulated Industries

Tags:

MLOps DevSecOps model registry policy enforcement SBOM provenance OCI artifacts Kubernetes on-prem air-gapped orchestration

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