Magia Trade — agentic threat model
Magia Trade presents a low-to-moderate agentic risk profile due to its strictly advisory nature; it generates market signals and reports but lacks the autonomy to execute trades or access user financial accounts directly.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.30 |
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 LLMs or specialized quantitative models to interpret market data. Threats include adversarial manipulation of market inputs to force incorrect signal generation.
Not certain from the listing — ingests real-time stock and cryptocurrency market data. Threats include data poisoning of the ingestion pipeline, which could lead to corrupted indicators and false trading signals.
Not certain from the listing — orchestrates user-defined indicators (moving averages, oscillators) with AI analysis. Threats include prompt injection or logic manipulation that alters how indicators are weighted or interpreted.
Not certain from the listing — hosted as a closed-source SaaS platform. Threats include unauthorized access to user accounts, subscription bypass, or exposure of notification delivery webhooks.
Not certain from the listing — requires continuous monitoring to detect signal drift and model degradation during extreme market volatility. Gaps here could lead to undetected false signals.
Not certain from the listing — as a paid, closed-source platform, it requires robust access controls and data privacy measures to protect user-configured alert strategies and personal financial interests.
Not certain from the listing — operates as a standalone vertical platform with no explicit multi-agent or marketplace integrations described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).