Kuberns — agentic threat model
Kuberns presents an extremely high-risk profile due to its direct integration with cloud infrastructure, CI/CD pipelines, and deployment systems, where any compromise or prompt injection could lead to full cloud account takeover or supply chain attacks.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.70 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| 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 underlying LLM is not specified. Threats include prompt injection leading to unauthorized cloud commands or model reprogramming.
Not certain from the listing — The data operations, vector stores, or training data for DevOps context are not detailed. Threats include poisoning of configuration templates or RAG data.
The agent orchestrates cloud management, CI/CD, and incident response. Threats include tool misuse (e.g., executing destructive cloud commands) and insecure tool integration with cloud APIs.
The agent is a closed-source PaaS managing cloud deployments. Threats include container/host compromise, privilege escalation within the managed cloud, and exposure of sensitive cloud credentials/secrets.
Not certain from the listing — No specific guardrails, logging, or evaluation mechanisms are mentioned, raising risks of blind spots during automated incident response.
Not certain from the listing — No compliance certifications (like SOC2) or specific IAM/authZ policies are detailed, despite the agent handling highly sensitive cloud credentials.
Not certain from the listing — No multi-agent or marketplace interactions are described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).