Gobii — agentic threat model
Gobii presents a high agentic risk profile due to its 24/7 autonomous web workflow automation, SMS integration, and multi-agent collaboration capabilities, which could be exploited for unauthorized actions or cascading failures if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.60 | |
| Multi-Agent Interactions | 0.80 | |
| Non-Determinism | 0.60 | |
| 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 — The specific foundation models powering Gobii's web automation and agent collaboration are not disclosed, leaving potential vulnerabilities to model-level adversarial attacks or prompt injection unquantified.
Not certain from the listing — Details regarding how Gobii manages data operations, RAG, or vector storage for its 24/7 workflows are omitted, raising questions about data exfiltration and knowledge-base poisoning risks.
Gobii's orchestration framework must manage complex web workflow automation and SMS tool execution. Insecure tool integration or prompt injection could lead to unauthorized web actions, API abuse, or malicious SMS dispatch.
Not certain from the listing — While described as a 'production-grade platform that runs 24/7', the underlying hosting infrastructure, sandboxing mechanisms for web automation, and secrets management are not detailed.
Not certain from the listing — There is no mention of built-in evaluation, logging, or guardrail systems to monitor autonomous web workflows and detect drift or anomalous agent behavior in real-time.
Not certain from the listing — As an open-source and freemium platform, specific compliance certifications (e.g., SOC2, GDPR) or enterprise-grade identity and access management controls are not explicitly stated.
With 'Agent-to-agent Collaboration' as a key feature, Gobii is highly exposed to ecosystem risks, where a single compromised agent could exploit trust relationships to trigger cascading failures across other collaborating agents.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).