QualiaInterviews — agentic threat model
QualiaInterviews presents moderate agentic risk, primarily centered around prompt injection during autonomous conversational interviews and the potential exposure of sensitive qualitative research data.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.70 | |
| 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 LLMs used for conversational interviews, multilingual translation, and summarization are unspecified. Threats include prompt injection via respondent inputs designed to hijack the interview flow or extract system prompts.
Not certain from the listing — The platform collects and processes qualitative research data, transcripts, and summaries, but details on vector databases or RAG pipelines are absent. Threats include unauthorized access to sensitive stakeholder feedback and lack of data lineage controls.
Not certain from the listing — The orchestration framework managing the 'Interview Advisor' and conversational flow is not detailed. Threats include logic bypasses where respondents manipulate the agent into violating interview guidelines.
Not certain from the listing — Hosting, sandboxing, and API security details for text/speech processing are omitted. Threats include insecure transcription endpoints and potential exposure of stored audio/text transcripts.
Not certain from the listing — While 'automatic respondent testing' is mentioned, there is no detail on security guardrails or real-time monitoring for abusive inputs. Threats include blind spots in detecting adversarial respondent behavior.
Not certain from the listing — The platform is closed-source and freemium, but does not explicitly cite compliance standards (e.g., GDPR, HIPAA, or IRB-related data protections) crucial for academic and market research.
The agent operates as a standalone platform for conducting and analyzing interviews, with no indicated multi-agent coordination or marketplace integrations, minimizing ecosystem-specific risks.
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.