DevOpsGPT — agentic threat model
DevOpsGPT presents a high-risk profile due to its integration with software development lifecycles, where unauthorized code execution, repository compromise, or credential exfiltration could occur if the agent is manipulated.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.60 | |
| Multi-Agent Interactions | 0.50 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.60 |
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 third-party LLMs for code generation and planning, exposing it to prompt injection that could lead to the generation of malicious code or backdoor insertion.
Not certain from the listing — requires access to proprietary codebases and repositories, presenting risks of sensitive data exfiltration or codebase poisoning if malicious inputs are ingested.
Not certain from the listing — orchestrates multi-step software engineering workflows. Vulnerable to tool misuse, particularly if the agent executes generated code or test suites without strict validation.
Not certain from the listing — requires a execution environment to run and test code. Without strict sandboxing (e.g., isolated Docker containers), executing untrusted code could lead to host compromise.
Not certain from the listing — lacks detailed observability specifications. Gaps in monitoring agent-generated commits or pipeline executions could allow malicious changes to bypass detection.
Not certain from the listing — requires access tokens for Git repositories and CI/CD pipelines. Insecure storage of these secrets poses a significant risk of privilege escalation and unauthorized repository access.
Not certain from the listing — may interact with external package managers or other developer agents, introducing risks of dependency confusion or cascading failures across the development ecosystem.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).