Agent Q — agentic threat model
Agent Q presents a high-risk profile due to its high autonomy, MCTS-driven planning, and ability to execute real-world financial transactions and web actions autonomously, making it highly vulnerable to indirect prompt injection via malicious web pages.
OWASP AIVSS score rationale
| Autonomy of Action | 0.90 | |
| Goal-Driven Planning | 0.95 | |
| Self-Modification | 0.50 | |
| Dynamic Tool Use | 0.85 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.70 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.80 | |
| 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 — The underlying foundation model is not specified, but the use of MCTS and RL suggests a highly capable LLM susceptible to prompt injection, which could hijack the MCTS planning phase or self-critique loop.
Not certain from the listing — No details on data storage, vector databases, or training data ingestion are provided, though the agent must handle sensitive user session data and transaction history during web navigation.
Agent Q uses a custom framework featuring guided MCTS, AI self-critique, and autonomous web navigation. Threats include goal hijacking where malicious web content manipulates the self-critique loop or MCTS path selection to execute unauthorized transactions.
Not certain from the listing — The hosting environment, sandboxing of the web browser/navigation tool, and secrets management for transaction credentials are not detailed.
Not certain from the listing — No explicit mention of real-time guardrails, transaction confirmation prompts, or logging mechanisms to monitor autonomous web actions.
Not certain from the listing — Compliance with financial standards (like PCI-DSS for transactions) or user authorization policies is not specified.
Not certain from the listing — The agent is described as a standalone web automation tool; multi-agent interactions or marketplace integrations are not detailed.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).