OpenAI Agents SDK — agentic threat model
As an open-source framework, the OpenAI Agents SDK provides the scaffolding for highly autonomous, multi-agent systems, shifting the primary security responsibility (sandboxing, input validation, and secure tool execution) entirely to the implementing developer.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.70 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.40 |
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 — While it is an OpenAI SDK likely designed for OpenAI's foundation models (e.g., GPT-4o), the specific model, its alignment, and vulnerability to adversarial prompt injection or data poisoning depend entirely on the developer's choice of model and configuration.
Not certain from the listing — The SDK provides orchestration but the data storage, vector databases, and RAG pipelines are defined by the developer, leaving potential risks of data poisoning or exfiltration dependent on implementation.
As an open-source agent framework, this layer is highly relevant. The SDK defines how planning, memory, and tool calling are structured. Threats include insecure tool integration, framework-level vulnerabilities, and memory poisoning if state management is not secured.
Not certain from the listing — As an open-source SDK, deployment infrastructure (e.g., containerization, sandboxing of tool execution, secrets management) is entirely up to the developer deploying the framework.
Not certain from the listing — The SDK's built-in telemetry, logging, and guardrail capabilities are not detailed in the brief description, meaning developers must implement their own observability stack to detect drift or anomalies.
Not certain from the listing — Compliance with standards (like NIST or SOC2) and identity/authorization controls are not specified and must be managed at the application layer by the implementing organization.
Not certain from the listing — While the SDK may support multi-agent orchestration patterns, the specific ecosystem, agent-to-agent trust boundaries, and cascading failure risks depend on the multi-agent architecture designed by the developer.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.