Topic Detection Tool — agentic threat model
The Tomedes Topic Detection Tool is a low-risk, specialized classification agent designed to route text to appropriate translators. Its primary security risks are data exposure of sensitive input texts (legal, medical) and prompt injection leading to misrouting.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.20 |
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 a pre-trained LLM or text-classification model. It is vulnerable to adversarial prompt injections designed to trick the classifier into misrouting sensitive documents (e.g., classifying a highly confidential legal document as 'general public' text).
Not certain from the listing — the tool processes user-submitted texts to analyze their domain. If these texts are cached, stored, or used for downstream training without sanitization, there is a risk of data leakage of proprietary, medical, or legal information.
Not certain from the listing — orchestration is likely a simple single-step classification pipeline. The primary framework risk is insecure integration with the downstream Translation Management System (TMS) when assigning projects to translators.
Not certain from the listing — as an open-source or free tool, deployment infrastructure security depends entirely on the hosting environment. Standard web application vulnerabilities could expose the input texts in transit or rest.
Not certain from the listing — there is no mention of logging, observability, or guardrails to detect if the tool is consistently misclassifying specific domains or failing to handle malicious inputs.
Not certain from the listing — because the tool is intended to handle specialized domains like medical and legal, it may process regulated data (HIPAA, GDPR). However, no compliance frameworks or data-handling policies are specified in the listing.
Not certain from the listing — the tool appears to operate as a standalone utility or integration within a translation workflow rather than participating in a complex multi-agent ecosystem.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.