FastAgency — agentic threat model
FastAgency is an open-source orchestrator framework that facilitates multi-agent deployments (via AutoGen/CrewAI) and rapid API integrations, creating a broad attack surface for tool misuse, insecure API execution, and cascading multi-agent failures.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.90 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
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 — FastAgency is a framework supporting AutoGen/CrewAI and does not specify or bundle a particular foundation model, leaving model-level vulnerabilities dependent on the user's choice of LLM.
Not certain from the listing — The listing mentions API integration but does not detail vector stores, RAG pipelines, or data operations, making data-poisoning or exfiltration risks dependent on the final implementation.
As an orchestration framework supporting AutoGen and CrewAI, FastAgency is highly exposed to framework-level threats. Its 'Seamless API Integration' of external OpenAPI specs with minimal code introduces significant risks of insecure tool integration, prompt injection-driven tool misuse, and unauthorized API execution.
FastAgency supports CLI, ConsoleUI, and MesopUI web interfaces. This introduces deployment risks such as container/host compromise via CLI execution, exposed web services, and insecure handling of API secrets during deployment tasks.
Not certain from the listing — The listing does not mention built-in evaluation, monitoring, logging, or guardrails, which may lead to observability blind spots in production multi-agent workflows.
Not certain from the listing — No explicit security controls, authentication, authorization, or compliance standards are mentioned in the directory listing.
FastAgency is explicitly designed for multi-agent workflows (supporting AutoGen and CrewAI). This creates a high exposure to agent-to-agent trust abuse, cascading failures across collaborating agents, and rogue agent interactions within the ecosystem.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).