mosaia — agentic threat model
Mosaia is a multi-agent creation platform featuring 1-click messaging integrations and an open-source tool SDK, presenting elevated risk due to its public sharing ecosystem and potential financial use cases without explicit sandboxing controls.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.40 | |
| Multi-Agent Interactions | 0.90 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
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 — The underlying foundation models are not specified. Standard risks of prompt injection, model alignment issues, and adversarial manipulation apply depending on which LLMs the platform integrates.
Not certain from the listing — Data operations, vector databases, and RAG pipelines are not detailed. There is a risk of data exfiltration or knowledge-base poisoning if private agents ingest sensitive financial or personal data.
Mosaia provides an open-source SDK for tools and supports agent versioning. The primary threat is tool misuse or insecure tool integration, where custom-built tools via the SDK could execute arbitrary code or unauthorized API calls.
Not certain from the listing — Infrastructure hosting, execution sandboxing for custom tools, and secrets management for 1-click integrations (WhatsApp, Telegram) are not described, presenting potential risks of credential theft or container escape.
Not certain from the listing — No evaluation, guardrail, or observability frameworks are mentioned, which may lead to blind spots in detecting anomalous agent behavior or malicious tool execution.
Not certain from the listing — Identity, authorization, and compliance policies are not detailed, which is critical given the platform's support for both public and private agents and financial use cases.
Mosaia explicitly supports multi-agent interactions and a public sharing ecosystem ('build in the open and share'). This introduces significant risks of cascading failures, agent-to-agent trust abuse, and the propagation of malicious or compromised public agents.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).