CSCA AI Assistant — agentic threat model
The CSCA AI Assistant is a low-risk, informational agent focused on educational advising, with primary risks centered around prompt injection leading to misinformation (e.g., fraudulent scholarship links) rather than active system compromise.
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 | 0.30 | |
| 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.
Not certain from the listing — likely uses a standard commercial or open-source LLM. Vulnerable to prompt injection that could manipulate course recommendations or redirect students to malicious scholarship links.
Not certain from the listing — relies on syllabus data and university directories. Vulnerable to knowledge-base poisoning if the directories or syllabus files are fetched dynamically from untrusted external sources.
Not certain from the listing — likely uses a simple RAG or orchestration framework. Vulnerable to insecure tool integration if directory search tools or web scrapers are not properly sanitized.
Not certain from the listing — as an open-source tool, deployment is unspecified. Standard web hosting and containerization vulnerabilities apply depending on how the user hosts the application.
Not certain from the listing — no mention of monitoring, guardrails, or evaluation frameworks to prevent hallucinated academic advice or toxic outputs.
Not certain from the listing — no mention of authentication, authorization, or compliance with student data privacy standards (such as FERPA) if student queries are logged.
Not certain from the listing — operates as a standalone assistant with no indicated multi-agent or marketplace integrations.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).