Agency Swarm — agentic threat model
Agency Swarm is a highly collaborative multi-agent framework whose primary risk lies in the complex, non-deterministic interactions of its 'swarms' and the potential for cascading failures, tool misuse, or trust abuse across agent boundaries.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.50 | |
| 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 — Agency Swarm is an orchestration framework and does not specify a default foundation model, though it likely integrates with external LLMs, inheriting their base vulnerabilities like prompt injection and alignment risks.
Not certain from the listing — The directory listing does not detail specific vector stores, RAG pipelines, or data ingestion mechanisms used by the framework.
As an orchestration framework, L3 is highly critical. Risks include insecure tool integration, framework-level vulnerabilities in agent behavior definitions, and potential tool misuse when executing automated workflows.
Not certain from the listing — Deployment, hosting, sandboxing, and secrets management are left entirely to the developer implementing the open-source framework.
Not certain from the listing — The listing does not mention built-in evaluation, logging, guardrails, or observability tools to monitor swarm interactions.
Not certain from the listing — No explicit security controls, identity management, or compliance alignments are detailed in the public directory listing.
Highly relevant. The framework's core value is multi-agent collaboration ('swarms'), introducing severe L7 risks such as agent-to-agent trust abuse, cascading failures, and rogue agent behavior within the swarm.
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.