cloud-solution-architect — agentic threat model
The agent acts primarily as an advisory tool for cloud architecture, presenting low direct operational risk but moderate indirect risk if users blindly implement flawed or compromised design recommendations.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.40 |
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 — likely relies on Azure OpenAI or similar foundation models. Threats include adversarial prompt injection that could trick the agent into recommending insecure cloud architectures or bypassing Well-Architected guidelines.
Not certain from the listing — utilizes Azure Architecture Center guidance as a reference surface. If this RAG/knowledge base is dynamically updated or fetched from external sources, it is vulnerable to data poisoning or outdated reference material leading to flawed recommendations.
Not certain from the listing — implemented as a Microsoft 'skill'. The orchestration framework is not detailed, but vulnerabilities could arise if the skill is integrated into execution environments without strict input sanitization.
Not certain from the listing — being open source, deployment depends on the user's hosting environment. Standard infrastructure threats like container escape or unauthorized access apply depending on where the skill is hosted.
Not certain from the listing — no built-in observability, logging, or guardrails are mentioned. This creates blind spots in detecting malicious inputs or drift in architectural advice quality.
Not certain from the listing — lacks explicit security controls, identity management, or compliance audits in the public description.
Not certain from the listing — while described as a 'skill' that could be part of a larger agent ecosystem, specific multi-agent interactions or marketplace trust boundaries are not defined.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).