PhysicsAI — agentic threat model
PhysicsAI exhibits a low agentic risk profile, functioning primarily as an educational Q&A tool with limited autonomy. The primary security concerns stem from potential sandbox escapes if code execution is used for calculations, and privacy risks associated with student-uploaded images.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.20 | |
| 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.
Uses multimodal foundation models to process text and image inputs. Vulnerable to adversarial prompt injection and optical character perturbation (adversarial images) designed to bypass safety guardrails or force incorrect mathematical outputs.
Not certain from the listing — The system ingests user-uploaded images of handwritten or printed text, but details regarding RAG, vector databases, or long-term data storage/retention policies are not specified.
Not certain from the listing — The orchestration framework for parsing problems and applying formulas is not detailed. If it relies on a code execution tool (e.g., Python interpreter) to perform calculations, it faces risks of tool misuse or command injection.
Not certain from the listing — Hosting, sandboxing, and infrastructure details are omitted. If code execution is utilized for solving physics equations, robust containerization is critical to prevent host compromise.
Not certain from the listing — No evaluation, monitoring, or guardrail mechanisms are described to detect drift, hallucinated formulas, or malicious inputs.
Not certain from the listing — Compliance controls (such as COPPA for student data privacy) and authentication mechanisms are not detailed in the public listing.
The agent operates as a standalone educational tool with no described multi-agent interactions, marketplace integrations, or external agent-to-agent dependencies.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).