Xavier AI — agentic threat model
Xavier AI is a low-risk, content-generation agent focused on presentation creation. Its primary security risks are limited to data privacy of user-submitted ideas and potential generation of inappropriate or copyrighted content via prompt injection.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.30 | |
| 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 | 0.50 | |
| Opacity & Reflexivity | 0.40 |
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 relies on third-party foundation models (e.g., GPT-4, DALL-E) for text and image generation. Primary threats include prompt injection leading to jailbreaks or generation of inappropriate/copyrighted content.
Not certain from the listing — likely processes user-provided prompts, outlines, and potentially uploaded documents to generate slides. Risks include data leakage of sensitive corporate intellectual property uploaded by users.
Not certain from the listing — orchestration is likely a simple linear pipeline (prompt to outline to slide generation) rather than a complex agentic loop. Risks include insecure parsing of structured LLM outputs (e.g., JSON/HTML) during slide rendering.
Not certain from the listing — likely deployed as a standard SaaS web application. Risks include typical web application vulnerabilities, such as insecure direct object references (IDOR) allowing unauthorized access to other users' generated presentations.
Not certain from the listing — no details are provided regarding output filtering, content moderation, or input guardrails to prevent the generation of malicious or offensive presentation content.
Not certain from the listing — likely uses standard web authentication (OAuth/email). No enterprise-grade compliance certifications (e.g., SOC2, ISO 27001) or advanced data retention policies are mentioned.
Not certain from the listing — operates as a standalone horizontal tool with no apparent multi-agent collaboration or external marketplace integrations.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).