DAGent — agentic threat model
DAGent is an open-source framework that structures agent workflows as Directed Acyclic Graphs (DAGs), offering structured planning but introducing risks around insecure tool execution and injection vulnerabilities within auto-generated tool descriptions.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.30 | |
| 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 — DAGent is a framework for structuring agents and does not specify or bundle a particular foundation model, leaving model-level threats dependent on the developer's choice.
Not certain from the listing — The framework manages data flow between DAG nodes, but does not detail specific vector stores, RAG pipelines, or data ingestion security controls.
DAGent's core risk lies in its orchestration layer. The use of 'Auto-Generated Tool Descriptions' and 'Function Nodes' introduces risks of prompt injection manipulating tool schemas, leading to insecure tool execution or unauthorized function calls within the Python environment.
Not certain from the listing — As an open-source Python integration framework, deployment and infrastructure security (such as sandboxing Python execution) are left entirely to the implementing developer.
Not certain from the listing — The listing does not mention built-in logging, evaluation, or guardrail mechanisms to monitor DAG execution or detect anomalous node transitions.
Not certain from the listing — There are no mentioned built-in security, authentication, authorization, or compliance controls within the framework itself.
Not certain from the listing — While the DAG structure allows complex multi-step workflows, the listing does not explicitly detail multi-agent collaboration or external agent ecosystem integrations.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).