Dunback Meadow — agentic threat model
Dunback Meadow acts as a decentralized marketplace and hosting platform for custom AI agents, presenting significant supply chain and transactional risks if malicious or compromised agents are traded or deployed to interact with audiences.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.50 | |
| Multi-Agent Interactions | 0.70 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.70 |
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 — No specific foundation models or LLM providers are disclosed for the customizable agents.
Not certain from the listing — The platform supports digital content and creator interactions, but details regarding vector databases, RAG, or training data pipelines are not specified.
Not certain from the listing — While developers can build "fully customizable AI agents," the underlying orchestration frameworks, memory structures, and tool-calling mechanisms are not detailed.
Not certain from the listing — The hosting environment, execution sandboxing for custom developer agents, and live broadcasting infrastructure details are omitted.
Not certain from the listing — There is no mention of guardrails, content moderation, or evaluation frameworks to monitor custom agents traded on the platform.
Not certain from the listing — Blockchain-backed transactions are mentioned for the marketplace, but traditional enterprise compliance, access controls, and identity management details are absent.
The platform is fundamentally an agent ecosystem and marketplace where agents are licensed, bought, traded, or sold. This introduces severe supply chain risks, where malicious or backdoored agents could be distributed to users, alongside financial risks related to blockchain-backed transactions, subscriptions, and tips.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).