Vaultaire — agentic threat model
Vaultaire is a local-first, zero-knowledge encrypted storage application rather than an active AI agent, presenting virtually zero agentic risk. Its security posture depends entirely on the cryptographic robustness of its local encryption and pattern-based access controls rather than LLM safety.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.00 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.00 | |
| Opacity & Reflexivity | 0.00 |
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 — Vaultaire is described as a local-first encrypted photo vault app and does not mention using any foundation models or LLMs.
Not certain from the listing — The app uses local-first zero-knowledge encryption for photos and videos, but there is no mention of AI data operations, RAG, vector databases, or training data pipelines.
Not certain from the listing — Vaultaire does not appear to use an agentic orchestration framework, planning, or tool-calling mechanisms.
Vaultaire is a local-first iOS mobile application. Infrastructure threats are limited to local device compromise, physical access, keychain vulnerabilities, or reverse engineering of the open-source binary.
Not certain from the listing — There is no mention of AI evaluation, guardrails, or LLM observability tools, as the application is a standard utility.
Vaultaire implements strong local security controls including zero-knowledge end-to-end encryption and pattern-based access control, ensuring the developer cannot access user data.
Not certain from the listing — The app operates as a standalone local vault with no multi-agent or marketplace interactions described.
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.