AgentStation — agentic threat model
AgentStation presents an extremely high-risk profile due to its combination of OS-level controls, VNC access, meeting participation, and arbitrary code execution. While sandboxing is noted for code execution, the potential for prompt injection to hijack browser automation or remote workstations poses severe security challenges.
OWASP AIVSS score rationale
| Autonomy of Action | 1.00 | |
| Goal-Driven Planning | 0.90 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 1.00 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.80 | |
| Multi-Agent Interactions | 0.50 | |
| 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 — the platform appears model-agnostic or supports developer-specified LLMs via API, exposing it to prompt injection, adversarial manipulation, and model alignment risks depending on the chosen underlying model.
Not certain from the listing — does not detail vector databases or RAG pipelines, but scraping capabilities (HTML, screenshots, recordings) and meeting bots present significant data exfiltration, privacy, and data leakage risks if sensitive data is captured.
High risk. The platform supports Puppeteer/Playwright, SSH, and an Action API for browser and OS automation. Insecure tool integration or prompt injection could lead to unauthorized tool execution, such as malicious OS-level keyboard/mouse inputs.
Critical risk. Offers cloud virtual workstations with VNC access, SSH, and LLM code execution (NodeJS, Python, Golang). While sandboxing is claimed, container escape, privilege escalation, and unauthorized remote access via VNC are severe threats.
Not certain from the listing — mentions recording and livestreaming workstation sessions, which provides some manual observability, but lacks details on automated guardrails, real-time anomaly detection, or policy enforcement.
Not certain from the listing — closed-source and freemium platform with no explicit compliance certifications (e.g., SOC2, ISO27001) mentioned, raising concerns about identity management, access control, and auditability of OS-level actions.
High risk. Meeting bots join Zoom/Google Meet to interact with humans, and agents can automate browsers to interact with external web services. This creates significant risks of social engineering, automated spam, and trust abuse in multi-party environments.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).