Internet of Agents — agentic threat model
Internet of Agents (IoA) presents a high-risk agentic profile due to its highly autonomous, multi-agent orchestration design and internet-like open architecture, which lacks built-in security boundaries or verification mechanisms for heterogeneous agent interactions.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.50 | |
| Multi-Agent Interactions | 1.00 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.70 |
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 framework is model-agnostic and integrates heterogeneous agents, meaning the underlying foundation models are determined by the user, leaving L1 threats like model poisoning or adversarial exploitation dependent on external deployments.
Not certain from the listing — There is no explicit mention of data operations, vector databases, or RAG pipelines within the framework's core description, though data exfiltration risks exist during agent-to-agent communication.
IoA acts as a complex orchestration framework supporting nested team formation and asynchronous execution. Vulnerabilities here include orchestration bypasses, insecure tool integration across heterogeneous agents, and cascading planning failures.
Not certain from the listing — As an open-source framework, deployment and sandboxing are left to the user. The 'internet-inspired' architecture suggests potential network exposure risks if agents communicate across unencrypted or unauthenticated channels.
Not certain from the listing — The description does not outline built-in evaluation, logging, or guardrail mechanisms, which may create significant observability blind spots in complex, nested agent conversations.
Not certain from the listing — No security, identity management, or compliance controls are mentioned, raising concerns about how agent authorization and policy enforcement are handled in collaborative environments.
This is the primary risk surface. The framework's core value is multi-agent collaboration, creating severe exposure to agent-to-agent trust abuse, rogue agent integration, and cascading failures across nested teams.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).