MarketMind — agentic threat model
MarketMind is an informational financial analysis agent with low autonomy, primarily posing risks related to financial misinformation, prompt injection, and downstream reliance on its structured JSON outputs for automated decision-making.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.40 |
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 utilizes a commercial foundation model optimized for structured JSON generation. Primary threats include prompt injection designed to bias market sentiment analysis or bypass safety guardrails.
Not certain from the listing — ingests real-time stock data and news feeds. Vulnerable to indirect prompt injection via poisoned external news articles or manipulated market data feeds.
Not certain from the listing — uses orchestration to translate user queries into API calls for market data. Threats include insecure tool integration where malicious inputs manipulate the parameters of the underlying financial APIs.
Not certain from the listing — deployed as a paid API. Key risks involve the exposure of third-party financial data API keys and lack of sandboxing for parsing untrusted external JSON payloads.
Not certain from the listing — no observability or validation mechanisms are detailed. Lacks apparent guardrails to detect hallucinated financial figures or biased sentiment analysis.
Not certain from the listing — no compliance frameworks (e.g., SOC2) or financial advisory disclaimers are specified, posing compliance risks if users treat outputs as certified financial advice.
Not certain from the listing — designed as a standalone API, but downstream automated trading agents consuming its JSON output could suffer cascading failures if MarketMind outputs corrupted or manipulated data.
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.