Agentverse — agentic threat model
Agentverse acts as a centralized registry and discovery platform for AI agents, presenting significant ecosystem and supply chain risks due to open registration and a lack of visible verification controls, which could allow malicious agents to be discovered and integrated into downstream workflows.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.80 | |
| 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 — The platform integrates with ASI:One LLM and other autonomous agents, but the specific foundation models powering its search and ranking algorithms are not disclosed.
Not certain from the listing — While the platform stores agent metadata, READMEs, and analytics, the underlying database architecture, vector stores, and data ingestion pipelines are not specified.
Not certain from the listing — The platform provides an SDK and API for agent registration, but the internal orchestration framework and tool-calling mechanisms used to facilitate agent interactions are not detailed.
Not certain from the listing — The hosting environment, network security, and sandboxing capabilities for interacting with registered agents are not described in the public directory.
The platform features an Analytics Dashboard to track interactions, searches, and ranking scores, providing basic observability into agent popularity and usage, though it is unclear if security-specific logging or anomaly detection is present.
Not certain from the listing — There is no mention of authentication standards, access controls, or compliance certifications (such as SOC2) governing how users register and interact with agents.
This is the primary risk surface. As an open marketplace where 'anyone can list, discover, and interact' with agents, there is a high risk of malicious agent registration, search-ranking manipulation, and cascading trust failures when autonomous agents interact with unverified third-party agents.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).