Break in Motion — agentic threat model
Break in Motion is a low-risk, local macOS productivity utility with minimal to no agentic capabilities, posing negligible security risks beyond standard local application security concerns.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.10 | |
| Opacity & Reflexivity | 0.10 |
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 app does not explicitly mention using any foundation models or LLMs; it likely uses local rule-based logic or basic heuristics to calculate standing goals.
Not certain from the listing — There is no mention of vector databases, RAG, or external data pipelines; it likely stores user standing goals and activity history locally on the Mac.
Not certain from the listing — No agentic orchestration framework (like LangChain or AutoGPT) is mentioned; the app likely relies on standard macOS application frameworks and local timers.
As a local Mac application, infrastructure risks are limited to local host security, potential privilege escalation if the app requests excessive permissions, and the security of the local installation package.
Not certain from the listing — There is no evidence of AI-specific evaluation, guardrails, or LLM observability tools; standard local application logging is likely used.
The app is open-source, which allows for public code auditing, but there is no mention of formal compliance certifications (like SOC2) or enterprise identity controls.
Not certain from the listing — The app operates as a standalone local utility and does not interact with other AI agents or marketplaces.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).