Intellectia.AI — agentic threat model
Intellectia.AI presents a moderate risk profile as an advisory financial AI; while it does not directly execute trades, compromised recommendations or poisoned market data could lead to significant indirect financial losses for users relying on its signals.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.50 | |
| 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 — likely utilizes proprietary or fine-tuned LLMs for financial synthesis. Threats include adversarial prompt injection to manipulate stock recommendations and model output drift leading to inaccurate financial advice.
Not certain from the listing — relies heavily on real-time market data feeds, stock/crypto monitoring databases, and financial reports. Threats include data poisoning of market feeds, which could skew technical analysis and generate fraudulent trading signals.
Not certain from the listing — orchestrates tools like the AI Stock Picker and Swing Trading signals. Threats include insecure tool integration with external financial APIs and prompt injection bypassing safety guardrails to access raw data.
Not certain from the listing — hosted as a closed-source SaaS platform. Threats include unauthorized access to user watchlists, API key exposure for market data providers, and standard web application vulnerabilities.
Not certain from the listing — requires continuous monitoring to ensure the accuracy of technical analysis and to detect anomalous recommendation patterns. Threats include blind spots in detecting hallucinated financial advice.
Not certain from the listing — must navigate financial regulations regarding investment advice disclaimers and user data privacy. Threats include lack of audit trails for generated recommendations and potential regulatory non-compliance.
Not certain from the listing — primarily operates as a single-agent advisory platform. Threats are limited to upstream dependencies, such as cascading failures if third-party financial data APIs are compromised or unavailable.
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.