Do Anything Machine — agentic threat model
The Do Anything Machine exhibits a high-risk agentic profile due to its high autonomy and integration into user workflows, meaning a compromise could lead to unauthorized actions and data exfiltration across connected platforms.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.80 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.40 | |
| 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 specific foundation models used are not disclosed. Standard risks like prompt injection, adversarial reprogramming, or misaligned outputs could lead to unauthorized task execution.
Not certain from the listing — The agent stores user preferences and adapts over time, implying a database or vector store for user context, but details are omitted. Risks include data exfiltration of sensitive workflow data.
The agent uses an orchestration framework to plan, prioritize, and execute tasks autonomously. Key threats include tool misuse (unintended actions in integrated workflows) and insecure tool integration.
Not certain from the listing — The hosting environment (SaaS, cloud provider) and sandboxing of task execution are not specified. Risks include container escape or credential theft from integrated workflows.
The listing mentions 'Real-time progress tracking and reporting,' which provides some observability, but it is unclear if there are automated guardrails to detect drift, anomalies, or malicious instructions.
Not certain from the listing — No details are provided regarding authentication, authorization, or compliance standards (like SOC2 or GDPR) for handling user workflow credentials and data.
Not certain from the listing — There is no mention of multi-agent interactions or marketplace integrations, though cascading failures could occur if integrated workflows involve other automated systems.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).