Zawa AI — agentic threat model
Zawa AI presents a low-to-moderate agentic risk posture, primarily acting as a generative design tool with limited autonomy. The main security concerns revolve around the protection of centralized brand assets, tenant isolation in its open-source deployment, and potential generation of inappropriate content.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.50 |
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 — likely relies on text-to-image foundation models (such as Stable Diffusion or proprietary APIs) which are susceptible to prompt injection, adversarial perturbations, and style/copyright poisoning.
Not certain from the listing — centralized brand kit storage and batch processing imply a database or asset repository. Vulnerabilities include unauthorized asset exfiltration, data leakage, or poisoning of stored brand elements.
Not certain from the listing — orchestration of batch processing and asset generation likely uses a basic workflow engine rather than a complex agentic framework. Risks include insecure tool execution or parameter injection during batch jobs.
Not certain from the listing — as an open-source and freemium platform, hosting infrastructure must secure user-uploaded brand assets and isolate tenant environments to prevent cross-tenant data leakage and unauthorized resource consumption.
Not certain from the listing — lacks explicit mention of content moderation guardrails or generation monitoring, risking the creation of offensive, brand-damaging, or copyrighted assets.
Not certain from the listing — requires robust authentication and access controls for the centralized brand kit to prevent unauthorized modifications, asset theft, or account takeover.
Not certain from the listing — does not explicitly feature multi-agent interactions or marketplace integrations, presenting minimal ecosystem risk.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).