Jozu — agentic threat model
Jozu acts as a secure gatekeeper and registry for AI assets rather than an autonomous agent, presenting low direct agentic risk but high supply-chain impact if compromised due to its deep integration with CI/CD and Kubernetes.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.10 | |
| Opacity & Reflexivity | 0.10 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — Jozu packages and registers models/agents but does not appear to host or serve its own foundation models directly, though it scans them for vulnerabilities.
Not certain from the listing — Jozu manages ModelKits (OCI artifacts containing models/datasets) and provides SBOM/provenance, but does not directly manage active RAG databases or vector stores.
Not certain from the listing — Jozu packages agent-driven apps but does not orchestrate agent execution, planning, or tool-calling frameworks internally.
Jozu integrates directly with Kubernetes stacks and CI/CD tools, packaging assets into OCI-compliant ModelKits. Compromise at this layer could lead to unauthorized deployment of malicious models or container escape within K8s.
Provides policy enforcement, scanning, and auditability for compliant releases, aligning with NIST and EU AI Act, though real-time runtime drift monitoring is not explicitly detailed.
Strong focus on security with tamper-proof ModelKits, SBOM/provenance tracking, policy enforcement, and support for air-gapped environments to ensure regulatory compliance.
Not certain from the listing — Jozu registers and packages agent-driven apps but does not manage a live multi-agent marketplace or runtime agent-to-agent interactions.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.