LoveGenius — agentic threat model
LoveGenius is a low-autonomy, consumer-focused AI assistant posing primarily privacy and data security risks due to its handling of sensitive personal dating profiles and chat histories without explicit security certifications.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.60 | |
| 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 — likely relies on third-party commercial LLMs via API to generate profiles and messages. Risks include prompt injection to bypass safety filters, potentially generating inappropriate, harassing, or deceptive content.
Not certain from the listing — processes highly sensitive personal data, dating preferences, and chat histories. Risks include data exfiltration of private user conversations and lack of transparent data isolation or encryption-at-rest standards.
Not certain from the listing — likely uses a basic template-based orchestration framework to inject user context into LLM prompts. Risks include insecure prompt construction leading to system prompt leakage or context manipulation.
Not certain from the listing — deployed as a closed-source web application. Risks include standard web application vulnerabilities (e.g., broken authentication, insecure session management) exposing user accounts.
Not certain from the listing — no public details on output monitoring or guardrails. Risks include a lack of real-time filters to prevent the generation of abusive, toxic, or scam-like dating messages.
Not certain from the listing — handles sensitive personal information (PII) and relationship preferences but does not advertise compliance with privacy regulations (like GDPR) or security frameworks (like SOC2).
The agent operates as a standalone vertical B2C assistant with no described multi-agent coordination or marketplace integrations, minimizing ecosystem-level cascading risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).