AIArt.Tools — agentic threat model
AIArt.Tools is a curated directory website rather than an active AI agent, presenting minimal agentic risk. Its primary security concerns are standard web vulnerabilities, such as malicious link injection or open redirects to phishing sites.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.10 | |
| Opacity & Reflexivity | 0.10 |
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 — The platform is a directory and does not appear to run its own foundation models, though it may use basic search or embedding models for discovery.
Not certain from the listing — Likely uses a standard relational database or simple search index to store curated listings; primary risks include database poisoning or malicious link injection by contributors.
Not certain from the listing — Does not appear to use an agent framework; it functions as a standard web directory with no autonomous planning or tool execution.
Not certain from the listing — Standard web hosting infrastructure; risks include typical web application vulnerabilities, server compromise, or DDoS attacks.
Not certain from the listing — No evidence of AI-specific evaluation or observability tools; likely relies on standard web analytics and uptime monitoring.
Not certain from the listing — No security certifications, access controls, or compliance frameworks are mentioned; standard web security practices apply.
Not certain from the listing — While it lists other agents, it does not interact with them programmatically or participate in an active multi-agent ecosystem.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).