Automina — agentic threat model
Automina presents a high-risk profile due to its autonomous cloud-based browser automation capabilities, which are susceptible to indirect prompt injection and session hijacking if untrusted web content is processed without strict sandboxing and guardrails.
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 | 0.30 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.50 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| 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.
Not certain from the listing — The underlying foundation model is not specified, leaving it vulnerable to standard LLM risks like prompt injection and adversarial manipulation without clear model-level guardrails.
Not certain from the listing — No details are provided regarding data storage, vector databases, or RAG operations, though the agent processes dynamic web data which could lead to indirect prompt injection.
Automina uses a browser automation framework to execute multi-step 'missions'. This introduces significant risks of indirect prompt injection from untrusted web pages, leading to unauthorized tool execution or data exfiltration.
As a 'cloud base browser automation' tool, the infrastructure must securely sandbox browser instances to prevent container escape, IP reputation abuse, or lateral movement within the hosting environment.
Not certain from the listing — There is no mention of logging, observability, or real-time guardrails to monitor and intercept malicious browser actions or anomalous behavior.
Not certain from the listing — No compliance certifications (e.g., SOC2, ISO) or identity/access management controls are detailed for securing user sessions and credentials.
Not certain from the listing — The agent operates independently without any indicated multi-agent orchestration or marketplace ecosystem integrations.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).