Floreo AI — agentic threat model
Floreo AI is a low-risk, single-purpose utility for generating and storing job descriptions, presenting minimal agentic risk due to its lack of autonomous action, tool execution, or multi-step planning capabilities.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| 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 uses standard commercial LLMs for text generation. Risks include prompt injection leading to offensive job descriptions or model bias in hiring criteria.
Not certain from the listing — stores generated job descriptions. Risks include unauthorized access to draft job descriptions or data leakage of sensitive, unannounced company hiring plans.
Not certain from the listing — likely a simple API wrapper rather than a complex agentic framework. Risks are minimal beyond standard API key exposure and prompt leakage.
Not certain from the listing — hosted web application. Standard web application vulnerabilities (OWASP Top 10) apply to the storage and generation interface.
Not certain from the listing — no mention of guardrails or monitoring for biased, discriminatory, or toxic job description generation.
Not certain from the listing — closed source and freemium. Lacks explicit compliance certifications (like SOC2) or robust access controls for stored descriptions.
Not certain from the listing — operates as a standalone tool with no multi-agent or ecosystem integrations described.
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.