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Physics AI — agentic threat model

4.3AIVSS 4.3 · Medium

Physics AI is a low-risk educational assistant with minimal agentic capabilities, primarily vulnerable to prompt injection and input manipulation rather than systemic or operational threats.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 3.5AARS uplift 0.76Factor sum 1.3/10Threat ×0.9Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.10
Contextual Awareness
0.20
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.30
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.

L1 · Foundation Models✓ mapped

The system relies on multimodal foundation models to process text and images. Key threats include adversarial prompt injection to bypass educational guardrails, jailbreaking, and model stealing of the closed-source system.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The system processes user-uploaded images and text. Risks include data exfiltration of user-submitted homework/exams and potential privacy issues if user data is used for downstream model training without consent.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration appears to be a simple pipeline translating user input into mathematical/physics queries. Risks include insecure tool integration if the system passes unvalidated inputs to symbolic math solvers or calculators.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Standard web application hosting is assumed. Risks include typical web application vulnerabilities, lack of sandboxing for image processing libraries (OCR), and denial of service via resource-intensive math queries.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — While the listing claims 99.7% accuracy, there is no mention of real-time observability, drift detection, or guardrails to prevent the generation of confidently incorrect (hallucinated) physics explanations.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — As an educational tool, compliance with student privacy regulations (such as COPPA or FERPA) is critical, but no specific compliance frameworks or security certifications are cited.

L7 · Agent Ecosystem✓ mapped

The agent operates as a standalone vertical application with no multi-agent collaboration or ecosystem marketplace integration described, minimizing ecosystem-level cascading risks.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).