Beyo AI — agentic threat model
Beyo AI presents a moderate-to-high risk profile due to its handling of sensitive personal and business financial data, including income, expenses, and customer sales records. While its autonomy is primarily analytical, a compromise could lead to severe data privacy breaches or the generation of fraudulent financial and tax advice.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.10 | |
| 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 commercial LLMs to generate financial insights and sales copy. Primary threats include prompt injection leading to the leakage of financial data or the generation of misleading tax and budgeting advice.
Not certain from the listing — requires ingestion of highly sensitive financial transactions, income, expenses, and customer lists. Threats include data poisoning of financial records, unauthorized access to vector stores containing PII, and lack of data lineage.
Not certain from the listing — orchestrates financial analysis and budgeting tools. Threats include insecure tool integration with financial APIs (e.g., Plaid) or CRM systems, and prompt injection manipulating the budgeting logic.
Not certain from the listing — hosted as a closed-source SaaS. Threats include insecure storage of API keys for financial/sales integrations and lack of tenant isolation for sensitive financial databases.
Not certain from the listing — requires strict monitoring to prevent hallucinated financial or tax advice. Gaps in observability could lead to undetected drift in financial calculations or silent failures in tracking.
Not certain from the listing — handles highly sensitive financial data (income, expenses, sales) which triggers compliance needs (e.g., PCI-DSS, SOC2, GDPR). No security certifications are explicitly mentioned in the directory listing.
Not certain from the listing — operates primarily as a standalone vertical financial assistant, but potential future integrations with external payment gateways or CRMs present cascading trust risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).