Voice Docs — agentic threat model
Voice Docs is a low-risk, document-centric RAG agent with a voice interface. Its primary security risks are indirect prompt injection via uploaded documents and potential data privacy issues regarding user-uploaded content.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| 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 third-party foundation models for text generation and speech-to-text/text-to-speech. Vulnerable to prompt injection to bypass constraints or extract system prompts.
The agent relies heavily on user-uploaded documents for RAG. This introduces significant risks of indirect prompt injection embedded within documents, as well as potential data leakage if document vectors are not strictly isolated per session.
Not certain from the listing — likely uses a basic RAG orchestration framework. Risks are limited to session state handling and insecure parsing of document contents.
Not certain from the listing — hosted on voicedocs.io. Standard web application security risks apply, particularly around secure file upload handling (e.g., preventing malicious PDF/Docx exploits from targeting the parser).
Not certain from the listing — no mention of guardrails, content filtering, or logging. Gaps here could allow undetected prompt injections or abusive content generation via voice.
Not certain from the listing — no details on user authentication, data retention policies, or compliance (e.g., GDPR/HIPAA) for uploaded user documents.
The agent operates as a standalone tool with no multi-agent interactions or marketplace integrations described, minimizing ecosystem-level risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).