AIToolFame — agentic threat model
AIToolFame is a curated web directory of AI tools with negligible agentic risk, as it lacks autonomous decision-making, planning, or dynamic tool execution capabilities.
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 described as a curated directory and does not explicitly mention utilizing foundation models for search, categorization, or generation.
Not certain from the listing — While it manages a database of AI tools and founder submissions, there is no mention of vector databases, RAG pipelines, or specific data ingestion security controls.
Not certain from the listing — The platform functions as a traditional web directory rather than an active agent framework; no orchestration, planning, or agentic memory is described.
Not certain from the listing — Standard web hosting infrastructure is assumed, but details regarding containerization, secrets management, or network security are absent.
Not certain from the listing — No monitoring, LLM guardrails, or evaluation frameworks are mentioned for verifying the listed tools or user submissions.
Not certain from the listing — Standard web authentication for founders is implied, but no specific compliance certifications, privacy policies, or access control mechanisms are detailed.
Not certain from the listing — Although it lists AI tools, the platform itself does not engage in multi-agent collaboration, marketplace transactions, or automated agent-to-agent interactions.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).