CollabAI — agentic threat model
CollabAI is an open-source, self-hosted AI agent platform utilizing top-tier LLMs, presenting moderate-to-high risk due to the potential for insecure custom task command execution and the reliance on user-managed infrastructure security.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.30 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.50 |
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.
Integrates top-tier models (GPT-4, Gemini, Claude) via API, exposing the platform to prompt injection, model alignment issues, and API key exposure risks.
Not certain from the listing — No explicit details on vector databases, RAG pipelines, or data ingestion methods are provided, though self-hosting implies local data storage risks.
Supports custom AI agents and task command creation, introducing risks of insecure tool integration, command injection, or unauthorized tool execution.
The self-hosted deployment model shifts infrastructure security entirely to the user, risking container compromise, privilege escalation, or exposed services if misconfigured.
Not certain from the listing — No built-in evaluation, monitoring, logging, or guardrail mechanisms are mentioned in the description.
Not certain from the listing — No specific authentication, authorization, policy enforcement, or compliance frameworks (like SOC2) are mentioned.
Not certain from the listing — While described as 'agency-centric', explicit multi-agent orchestration, agent-to-agent trust boundaries, or marketplace interactions are not detailed.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).