TendiAI — agentic threat model
TendiAI acts as a highly personalized financial advisor, presenting moderate risk due to its access to sensitive personal financial data, though its lack of direct transactional execution limits its immediate monetary threat vector.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.70 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.50 |
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 models are not specified. Adversarial prompt injection could bypass financial safety guardrails, leading to the generation of toxic, inaccurate, or legally non-compliant financial advice.
Not certain from the listing — The agent ingests sensitive personal financial data (spending, saving, debt). Insecure data operations could lead to data exfiltration of financial records or poisoning of the user's financial profile.
Not certain from the listing — The orchestration framework for goal tracking and debt planning is undisclosed. Vulnerabilities here could allow malicious tool manipulation if the agent integrates with external financial APIs (e.g., Plaid).
Not certain from the listing — Hosting and infrastructure details are omitted. A compromise at this layer could expose the databases storing users' financial dashboards and historical transaction records.
Not certain from the listing — There is no mention of continuous evaluation or guardrails to monitor the accuracy and compliance of the generated financial advice over time.
Not certain from the listing — Compliance with financial regulations (such as GLBA or GDPR) and security controls (like MFA or encryption at rest) are not detailed in the public listing.
The agent operates as a standalone personal financial assistant; there is no indication of multi-agent collaboration or marketplace ecosystem risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).